Triple
T2008317
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Second Chorus |
E43634
|
entity |
| Predicate | hasLeadActorRole |
P14496
|
FINISHED |
| Object | Fred Astaire as a trumpet player caught between romance and big-band rivalry |
—
|
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: Fred Astaire as a trumpet player caught between romance and big-band rivalry | Statement: [Second Chorus, hasLeadActorRole, Fred Astaire as a trumpet player caught between romance and big-band rivalry]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasLeadActorRole Context triple: [Second Chorus, hasLeadActorRole, Fred Astaire as a trumpet player caught between romance and big-band rivalry]
-
A.
hasMainRole
chosen
Indicates that an entity holds the primary or most significant role in relation to another entity or context.
-
B.
playedBy
Indicates that a role, character, or performance is portrayed or executed by a specific person or agent.
-
C.
leadActress
Indicates that the subject is the primary female performer in the specified film, show, or production.
-
D.
hasCrewRole
Indicates that an entity serves in a specific role or position within a crew associated with another entity.
-
E.
hasFictionalRole
Indicates that an entity plays or is assigned a specific role within a fictional work or narrative.
- 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_69a88716e9f08190946313fdc949e3cf |
completed | March 4, 2026, 7:25 p.m. |
| NER | Named-entity recognition | batch_69abb89aca908190b8b659af65afdf6f |
completed | March 7, 2026, 5:33 a.m. |
| PD | Predicate disambiguation | batch_69abb7a03a1c81909ad50d56667db2d5 |
completed | March 7, 2026, 5:29 a.m. |
Created at: March 4, 2026, 7:37 p.m.