Triple
T33695359
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | They’re Playing Our Song |
E863289
|
entity |
| Predicate | originalLeadFemalePortrayedBy |
P6108
|
FINISHED |
| Object | Lucie Arnaz |
E246365
|
NE 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: Lucie Arnaz | Statement: [They’re Playing Our Song, originalLeadFemalePortrayedBy, Lucie Arnaz]
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 (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_69f3498723a08190ac034339cc78eade |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_6a034af7066c81908719bff353d77b16 |
completed | May 12, 2026, 3:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a3692c0c8c08190acb8e7e3a10e3d65 |
completed | June 20, 2026, 1:16 p.m. |
| PD | Predicate disambiguation | batch_6a034a2fc2308190b0b8fbd458a39323 |
completed | May 12, 2026, 3:41 p.m. |
Created at: May 1, 2026, 1:43 a.m.