Triple
T35182163
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Big Knife (Broadway revival) |
E1015881
|
entity |
| Predicate | hasTheatricalContext |
P184045
|
FINISHED |
| Object | Broadway theatre |
—
|
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: Broadway theatre | Statement: [The Big Knife (Broadway revival), hasTheatricalContext, Broadway theatre]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTheatricalContext Context triple: [The Big Knife (Broadway revival), hasTheatricalContext, Broadway theatre]
-
A.
hasTheatricalFilm
Indicates that an entity has an associated theatrical film adaptation, version, or release.
-
B.
hasTheatricalForm
Indicates that something is associated with or presented in a particular theatrical form or style.
-
C.
hasTheatricalConvention
Indicates that something (such as a work, performance, or medium) employs or is characterized by a particular theatrical convention or stylistic device used in theater.
-
D.
hasTheatricalStaging
Indicates that something (such as a work or event) is presented or realized through a theatrical staging or performance.
-
E.
hasTheatricalStyle
Indicates that one entity possesses, exhibits, or is characterized by a particular theatrical style associated with another entity.
- 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_69f76ddcc108819097f96853b7ed9ef4 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69f7aaabb58c8190bf81673608ecfb6e |
completed | May 3, 2026, 8:06 p.m. |
| PD | Predicate disambiguation | batch_69f7a8cec6d48190bebfa884b2f938c0 |
completed | May 3, 2026, 7:58 p.m. |
| PDg | Predicate description generation | batch_69f7aa6795f481908940838ee7041ff5 |
completed | May 3, 2026, 8:04 p.m. |
Created at: May 3, 2026, 4:02 p.m.