Triple
T33695359
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | They’re Playing Our Song |
E863289
|
entity |
| Predicate | originalLeadFemalePortrayedBy |
—
|
GENERATED |
| Object | Lucie Arnaz |
—
|
UNRECOGNIZED GENERATED |
How this triple was built (1 step)
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.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: originalLeadFemalePortrayedBy Context triple: [They’re Playing Our Song, originalLeadFemalePortrayedBy, Lucie Arnaz]
-
A.
leadActress
chosen
Indicates that the subject is the primary female performer in the specified film, show, or production.
-
B.
leadActressCharacterName
Indicates the name of the character portrayed by the lead actress in a given work.
-
C.
leadActressPlaysCharacter
Indicates that a lead actress portrays or performs the role of a specific character.
-
D.
relationshipTypeWithFemaleLead
Indicates the type or nature of a relationship that an entity has with a female lead.
-
E.
originalFemaleLeadDancer
Indicates that the subject is the woman who first held the primary lead dancer role in a given production or performance.
- F. None of above.
Provenance (1 batch)
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_69f3498723a08190ac034339cc78eade |
completed | April 30, 2026, 12:22 p.m. |
Created at: May 1, 2026, 1:43 a.m.