Triple
T12926821
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Roy Dotrice |
E309263
|
entity |
| Predicate | recordHeld |
P2722
|
FINISHED |
| Object |
Guinness World Record for most characters voiced in a single audiobook
The Guinness World Record for most characters voiced in a single audiobook recognizes the achievement of a narrator, in this case Roy Dotrice, for performing an exceptionally large and distinct cast of voices within one recorded work.
|
E1012271
|
NE FINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Guinness World Record for most characters voiced in a single audiobook | Statement: [Roy Dotrice, recordHeld, Guinness World Record for most characters voiced in a single audiobook]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Guinness World Record for most characters voiced in a single audiobook Context triple: [Roy Dotrice, recordHeld, Guinness World Record for most characters voiced in a single audiobook]
-
A.
Guinness World Record for most films produced by an individual
The Guinness World Record for most films produced by an individual recognizes the unparalleled output of a single film producer who has overseen more movie productions than anyone else in history.
-
B.
Guinness World Record for most ported video game
The Guinness World Record for most ported video game recognizes Tetris as the game released on the greatest number of different platforms in gaming history.
-
C.
Guinness World Record for Most Recognizable Female Video Game Character
The Guinness World Record for Most Recognizable Female Video Game Character is a distinction awarded to the iconic Tomb Raider protagonist Lara Croft, acknowledging her status as the most widely recognized female character in gaming.
-
D.
Guinness World Records
Guinness World Records is a globally recognized reference book and organization that documents and certifies extraordinary human achievements and natural phenomena as world records.
-
E.
Reading Aloud
"Reading Aloud" is a 19th-century painting by Albert Joseph Moore that exemplifies his refined Aesthetic Movement style, depicting harmoniously arranged female figures in a serene, decorative interior.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Guinness World Record for most characters voiced in a single audiobook Triple: [Roy Dotrice, recordHeld, Guinness World Record for most characters voiced in a single audiobook]
Generated description
The Guinness World Record for most characters voiced in a single audiobook recognizes the achievement of a narrator, in this case Roy Dotrice, for performing an exceptionally large and distinct cast of voices within one recorded work.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Guinness World Record for most characters voiced in a single audiobook Target entity description: The Guinness World Record for most characters voiced in a single audiobook recognizes the achievement of a narrator, in this case Roy Dotrice, for performing an exceptionally large and distinct cast of voices within one recorded work.
-
A.
Guinness World Record for most films produced by an individual
The Guinness World Record for most films produced by an individual recognizes the unparalleled output of a single film producer who has overseen more movie productions than anyone else in history.
-
B.
Guinness World Record for most ported video game
The Guinness World Record for most ported video game recognizes Tetris as the game released on the greatest number of different platforms in gaming history.
-
C.
Guinness World Record for Most Recognizable Female Video Game Character
The Guinness World Record for Most Recognizable Female Video Game Character is a distinction awarded to the iconic Tomb Raider protagonist Lara Croft, acknowledging her status as the most widely recognized female character in gaming.
-
D.
Guinness World Records
Guinness World Records is a globally recognized reference book and organization that documents and certifies extraordinary human achievements and natural phenomena as world records.
-
E.
Reading Aloud
"Reading Aloud" is a 19th-century painting by Albert Joseph Moore that exemplifies his refined Aesthetic Movement style, depicting harmoniously arranged female figures in a serene, decorative interior.
- F. None of above. chosen
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d7bdfa933c8190b5a27aa4a08a19b7 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d971eb17c88190bf523da897172a0c |
completed | April 10, 2026, 9:55 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6af64905c8190b0f2adb66c17c476 |
completed | May 3, 2026, 2:13 a.m. |
| NEDg | Description generation | batch_69f6b19fbe3881909e08628c0672388b |
completed | May 3, 2026, 2:23 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f6b5d11960819092c920f19eaad540 |
completed | May 3, 2026, 2:41 a.m. |
Created at: April 9, 2026, 5:42 p.m.