Triple
T14404125
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Ribos Operation |
E357152
|
entity |
| Predicate | scriptEditor |
P48102
|
FINISHED |
| Object |
Anthony Read
Anthony Read was a British television writer and script editor best known for his work on the science fiction series Doctor Who and various other BBC dramas.
|
E1102798
|
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: Anthony Read | Statement: [The Ribos Operation, scriptEditor, Anthony Read]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Anthony Read Context triple: [The Ribos Operation, scriptEditor, Anthony Read]
-
A.
Andrew Brooke
Andrew Brooke is a British actor known for his roles in television dramas and series, including the 2013 miniseries "The Bible."
-
B.
Patrick Goode
Patrick Goode is an individual notable enough to be specifically cited as a bearer of the surname Goode.
-
C.
John Lyons
John Lyons is a film producer best known for his work on major Hollywood comedies, including the Austin Powers series.
-
D.
John Lyons
John Lyons was a prominent British linguist and semanticist known for his influential work on theoretical linguistics and the philosophy of language.
-
E.
John Denham
John Denham is a British Labour politician who served in senior ministerial roles, including overseeing higher education and innovation policy in the UK government.
- 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: Anthony Read Triple: [The Ribos Operation, scriptEditor, Anthony Read]
Generated description
Anthony Read was a British television writer and script editor best known for his work on the science fiction series Doctor Who and various other BBC dramas.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Anthony Read Target entity description: Anthony Read was a British television writer and script editor best known for his work on the science fiction series Doctor Who and various other BBC dramas.
-
A.
Andrew Brooke
Andrew Brooke is a British actor known for his roles in television dramas and series, including the 2013 miniseries "The Bible."
-
B.
Patrick Goode
Patrick Goode is an individual notable enough to be specifically cited as a bearer of the surname Goode.
-
C.
John Lyons
John Lyons is a film producer best known for his work on major Hollywood comedies, including the Austin Powers series.
-
D.
John Lyons
John Lyons was a prominent British linguist and semanticist known for his influential work on theoretical linguistics and the philosophy of language.
-
E.
John Denham
John Denham is a British Labour politician who served in senior ministerial roles, including overseeing higher education and innovation policy in the UK government.
- 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_69d82793421c8190861eb0e673b085de |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de90860ae481908e175decda8624d5 |
completed | April 14, 2026, 7:07 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd6d8137348190b332e27f3d71d4f0 |
completed | May 8, 2026, 4:58 a.m. |
| NEDg | Description generation | batch_69fd6ea7ce448190be49c725a2e0135b |
completed | May 8, 2026, 5:03 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fd6f99a9e481909c52413f682e4d15 |
completed | May 8, 2026, 5:07 a.m. |
Created at: April 10, 2026, 1:17 a.m.