Triple
T27460877
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Say You Love Me (album) |
E692737
|
entity |
| Predicate | hasBroadwayInfluence |
P168594
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Say You Love Me (album), hasBroadwayInfluence, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasBroadwayInfluence Context triple: [Say You Love Me (album), hasBroadwayInfluence, true]
-
A.
hasBroadwayExperience
Indicates that an entity has participated in or worked on a Broadway production in some professional capacity.
-
B.
hasBroadwayProduction
Indicates that a work or show has been produced and staged in a Broadway theater.
-
C.
hadPreBroadwayProductionType
Indicates that an artistic work had a specific type or category of production run prior to its official Broadway opening.
-
D.
hasBroadwayTitle
Indicates that an entity is associated with a specific title used for its Broadway production or representation.
-
E.
hasBroadwayTheatreCode
Indicates that an entity is associated with a specific Broadway theatre identification code.
- 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_69ef5207903881909427745cda05d27a |
completed | April 27, 2026, 12:09 p.m. |
| NER | Named-entity recognition | batch_69f67595fa7c8190b6e9f7a8c700dd97 |
completed | May 2, 2026, 10:07 p.m. |
| PD | Predicate disambiguation | batch_69f673c2f81c8190bf369226306eef09 |
completed | May 2, 2026, 9:59 p.m. |
| PDg | Predicate description generation | batch_69f674df80b08190adb7f7531083bbb1 |
completed | May 2, 2026, 10:04 p.m. |
Created at: April 27, 2026, 12:50 p.m.