Triple
T5695859
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Can-Can |
E125536
|
entity |
| Predicate | theatricalSubject |
P66010
|
FINISHED |
| Object | romance between a judge and a dance hall owner |
—
|
LITERAL 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: romance between a judge and a dance hall owner | Statement: [Can-Can, theatricalSubject, romance between a judge and a dance hall owner]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: theatricalSubject Context triple: [Can-Can, theatricalSubject, romance between a judge and a dance hall owner]
-
A.
theatricalContext
Indicates the situational or environmental circumstances related to a theatrical performance or production in which an action or relationship occurs.
-
B.
theatricalGenre
Indicates the specific theatrical genre or style to which a performance, play, or production belongs.
-
C.
theatre
Indicates that an entity is a theater or is associated with theatrical performances or activities.
-
D.
theater
Indicates that an entity is a theater or is functioning in the role of a theater (a venue where performances or films are shown).
-
E.
theaterWork
Indicates a relationship where an entity is a theatrical work (such as a play or stage production) associated with another entity, typically as its subject, creator, or context.
- F. None of above. chosen
Provenance (4 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_69c0082bb19c8190823a4facd3cba79b |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c029014588819094a2a0f6f9b66bab |
completed | March 22, 2026, 5:38 p.m. |
| PD | Predicate disambiguation | batch_69c021c0e0408190ab6c3cd3f907e80f |
completed | March 22, 2026, 5:07 p.m. |
| PDg | Predicate description generation | batch_69c028fec2bc819083f5dca6a8d9d435 |
completed | March 22, 2026, 5:38 p.m. |
Created at: March 22, 2026, 3:45 p.m.