Triple
T5101666
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Audience |
E114992
|
entity |
| Predicate | costumeDesigner |
P184
|
FINISHED |
| Object | Bob Crowley |
E322282
|
NE FINISHED |
How this triple was built (2 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: Bob Crowley | Statement: [The Audience, costumeDesigner, Bob Crowley]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bob Crowley Context triple: [The Audience, costumeDesigner, Bob Crowley]
-
A.
Bob Crowley
chosen
Bob Crowley is an acclaimed Irish theatre designer and director renowned for his innovative scenic and costume designs for major Broadway and West End productions.
-
B.
Eric Blore
Eric Blore was an English character actor best known for his comic portrayals of butlers and valets in 1930s and 1940s Hollywood films.
-
C.
J. C. Squire
J. C. Squire was a British poet, critic, and editor best known for leading the Georgian poetry movement and shaping early 20th-century English literary taste.
-
D.
Malcolm Cooke
Malcolm Cooke is a film editor known for his work on the 1986 monster movie "King Kong Lives."
-
E.
Deryck Guyler
Deryck Guyler was a British character actor and comedian best known for his roles in mid-20th-century radio and television sitcoms.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69bd4440b3348190be1251fd8b7951f1 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd7584ed408190a6d1086588f24faa |
completed | March 20, 2026, 4:27 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69beba8d24388190882b9933a2a798c4 |
completed | March 21, 2026, 3:34 p.m. |
Created at: March 20, 2026, 1:40 p.m.