Triple
T25168972
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kenneth Haigh |
E630261
|
entity |
| Predicate | theatreMovement |
P61122
|
FINISHED |
| Object | Angry Young Men |
—
|
NE NERFINISHED |
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: Angry Young Men | Statement: [Kenneth Haigh, theatreMovement, Angry Young Men]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: theatreMovement Context triple: [Kenneth Haigh, theatreMovement, Angry Young Men]
-
A.
theatricalMovement
chosen
Indicates a relationship where an entity is associated with, participates in, or exemplifies a particular theatrical movement or style within the performing arts.
-
B.
theatreOf
Indicates that an event, action, or operation takes place within or is primarily associated with a particular theatre or venue.
-
C.
theatre
Indicates that an entity is a theater or is associated with theatrical performances or activities.
-
D.
partOfTheatre
Indicates that one entity is a component, section, or subdivision of a theatre.
-
E.
relatedTheatre
Indicates that there is an association or connection between an entity and a theatre, such as relevance, involvement, or contextual linkage.
- F. None of above.
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_69e75a87c9b88190ab60731902a99750 |
completed | April 21, 2026, 11:07 a.m. |
| NER | Named-entity recognition | batch_69f46d44f48c8190943b3b22651be3c4 |
completed | May 1, 2026, 9:07 a.m. |
| PD | Predicate disambiguation | batch_69f44d8043b081908bbffd7f044b4f26 |
completed | May 1, 2026, 6:51 a.m. |
Created at: April 21, 2026, 12:19 p.m.