Triple
T18150591
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Revelation of the Daleks |
E434489
|
entity |
| Predicate | featuresCharacter |
P626
|
FINISHED |
| Object |
Takis
Takis is a supporting character in the Doctor Who serial "Revelation of the Daleks," serving as one of the attendants at the Tranquil Repose funeral home on the planet Necros.
|
E1310181
|
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: Takis | Statement: [Revelation of the Daleks, featuresCharacter, Takis]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Takis Context triple: [Revelation of the Daleks, featuresCharacter, Takis]
-
A.
Trolli
Trolli is a confectionery brand best known for its colorful and quirky gummy candies, including gummy worms and other playful shapes.
-
B.
Tarbock
Tarbock is a village in the Metropolitan Borough of Knowsley in Merseyside, England, known historically for its agricultural roots and rural character.
-
C.
Taffy
Taffy is a character featured in the film "On the Line."
-
D.
Sprinkles
Sprinkles is Angela Martin’s beloved and overprotected cat from the U.S. television series "The Office."
-
E.
Twisted Tails Pretzels
Twisted Tails Pretzels is a snack stand in Busch Gardens Tampa’s Pantopia area known for serving freshly baked soft pretzels and related treats.
- 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: Takis Triple: [Revelation of the Daleks, featuresCharacter, Takis]
Generated description
Takis is a supporting character in the Doctor Who serial "Revelation of the Daleks," serving as one of the attendants at the Tranquil Repose funeral home on the planet Necros.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Takis Target entity description: Takis is a supporting character in the Doctor Who serial "Revelation of the Daleks," serving as one of the attendants at the Tranquil Repose funeral home on the planet Necros.
-
A.
Trolli
Trolli is a confectionery brand best known for its colorful and quirky gummy candies, including gummy worms and other playful shapes.
-
B.
Tarbock
Tarbock is a village in the Metropolitan Borough of Knowsley in Merseyside, England, known historically for its agricultural roots and rural character.
-
C.
Taffy
Taffy is a character featured in the film "On the Line."
-
D.
Sprinkles
Sprinkles is Angela Martin’s beloved and overprotected cat from the U.S. television series "The Office."
-
E.
Twisted Tails Pretzels
Twisted Tails Pretzels is a snack stand in Busch Gardens Tampa’s Pantopia area known for serving freshly baked soft pretzels and related treats.
- 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_69d8b90aac308190801e2c57d8c5bfe5 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4de3812e8819097f025476d5c6a1d |
completed | April 19, 2026, 1:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a038fb71b188190abbd1c2b863ae1fd |
completed | May 12, 2026, 8:38 p.m. |
| NEDg | Description generation | batch_6a03915b8a748190bf168a308e4c638c |
completed | May 12, 2026, 8:45 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0392118b84819081252eb438ed5654 |
completed | May 12, 2026, 8:48 p.m. |
Created at: April 10, 2026, 10:29 a.m.