Triple
T20419049
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Milk and Honey |
E500796
|
entity |
| Predicate | hasBroadwaySeason |
P39737
|
FINISHED |
| Object | 1961–1962 Broadway season |
—
|
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: 1961–1962 Broadway season | Statement: [Milk and Honey, hasBroadwaySeason, 1961–1962 Broadway season]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasBroadwaySeason Context triple: [Milk and Honey, hasBroadwaySeason, 1961–1962 Broadway season]
-
A.
broadwaySeason
chosen
Indicates that one entity is a Broadway production and the other is the specific Broadway season during which it was performed or active.
-
B.
hasBroadwayOpeningContext
Indicates that an entity is associated with contextual details specifically about its Broadway opening (such as time, place, or circumstances of the premiere).
-
C.
hasBroadwayProduction
Indicates that a work or show has been produced and staged in a Broadway theater.
-
D.
hasBroadwayOpeningYearOfSource
Indicates that the Broadway production associated with the subject entity opened in the same year as specified by the source entity.
-
E.
hasBroadwayTheatreCode
Indicates that an entity is associated with a specific Broadway theatre identification code.
- 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_69e0b4a935588190b9446a99b37ced44 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e67a4686a48190a808c86aa916ad56 |
completed | April 20, 2026, 7:11 p.m. |
| PD | Predicate disambiguation | batch_69e5766df0008190a73c4f613c29678f |
completed | April 20, 2026, 12:42 a.m. |
Created at: April 16, 2026, 11:30 a.m.