Triple
T32328972
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | A Boy Like That / I Have a Love |
E825994
|
entity |
| Predicate | originalBroadwayPerformerOfAnita |
P4737
|
FINISHED |
| Object | Chita Rivera |
—
|
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: Chita Rivera | Statement: [A Boy Like That / I Have a Love, originalBroadwayPerformerOfAnita, Chita Rivera]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: originalBroadwayPerformerOfAnita Context triple: [A Boy Like That / I Have a Love, originalBroadwayPerformerOfAnita, Chita Rivera]
-
A.
originalBroadwayStar
chosen
Indicates that the subject was a member of the original Broadway cast in the specified role or production.
-
B.
portrayedInBroadwayProductionBy
Indicates that an entity was depicted or performed in a Broadway stage production by a specified person or group.
-
C.
notableBroadwayPerformer
Indicates that the subject is a performer who has achieved notable recognition for work on Broadway productions.
-
D.
broadwayDebutOfPerformer
Indicates the specific Broadway production in which a performer made their first appearance on Broadway.
-
E.
originalBroadwayAnnieOakleyActor
Indicates the actor who originally played the role of Annie Oakley in the Broadway production of a work.
- 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_69f34912d0c48190bba75770660320e9 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_6a0191d96dc88190ac0823e534f9d704 |
completed | May 11, 2026, 8:22 a.m. |
| PD | Predicate disambiguation | batch_6a01908110448190a46442ffe4d15f5f |
completed | May 11, 2026, 8:17 a.m. |
Created at: May 1, 2026, 12:47 a.m.