Triple
T25421078
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Broadway In Chicago |
E636985
|
entity |
| Predicate | notableProductionPresented |
P190988
|
FINISHED |
| Object | Hamilton (Chicago sit-down production) |
—
|
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: Hamilton (Chicago sit-down production) | Statement: [Broadway In Chicago, notableProductionPresented, Hamilton (Chicago sit-down production)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: notableProductionPresented Context triple: [Broadway In Chicago, notableProductionPresented, Hamilton (Chicago sit-down production)]
-
A.
notableProductionFor
Indicates that an entity is especially well-known or recognized for producing or creating another specified entity.
-
B.
notableShowProduced
Indicates that an entity played a significant role in producing a show that is considered notable.
-
C.
notableTelevisionProduction
Indicates that the subject is significantly associated with the creation or production of the referenced television work.
-
D.
notableShow
Indicates that a show is especially prominent, distinguished, or significant in some noteworthy way.
-
E.
notableProductionType
Indicates that the subject is particularly known for producing or creating instances of the specified type.
- 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_69e75db4135881909acc287ebcb7a505 |
completed | April 21, 2026, 11:21 a.m. |
| NER | Named-entity recognition | batch_69fcd867f36081908c88c55a6a1404c1 |
completed | May 7, 2026, 6:22 p.m. |
| PD | Predicate disambiguation | batch_69fcd1f47b188190b4cf4b4c748d9d03 |
completed | May 7, 2026, 5:55 p.m. |
| PDg | Predicate description generation | batch_69fcd866dd248190bff61c43bee93f54 |
completed | May 7, 2026, 6:22 p.m. |
Created at: April 21, 2026, 1:56 p.m.