Triple
T7962003
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lose Each Other (music video) |
E184887
|
entity |
| Predicate | productionRoleOfTeyanaTaylor |
P36865
|
FINISHED |
| Object | director |
—
|
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: director | Statement: [Lose Each Other (music video), productionRoleOfTeyanaTaylor, director]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: productionRoleOfTeyanaTaylor Context triple: [Lose Each Other (music video), productionRoleOfTeyanaTaylor, director]
-
A.
hasProductionRole
chosen
Indicates that an entity holds a specific role or function in the production or creation process of another entity.
-
B.
developerOfWorkAppearingIn
Indicates that one entity is the creator or developer of a work in which another entity appears or is featured.
-
C.
producerRole
Indicates that an entity serves in the role of producer for another entity, such as a work, product, or event.
-
D.
partOfCreativeCareerOf
Indicates that one entity represents a work, role, or activity that forms a component or phase within another entity’s overall creative career.
-
E.
businessRoleOfJudyGarland
Indicates the specific business-related role or capacity that Judy Garland holds in relation to another entity or activity.
- 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_69ca8293a2388190aace944d7ed9c0c0 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb3b9df72081908d33925da10192e9 |
completed | March 31, 2026, 3:12 a.m. |
| PD | Predicate disambiguation | batch_69cb0473d7dc8190a25d0cf460b9fcbe |
completed | March 30, 2026, 11:17 p.m. |
Created at: March 30, 2026, 5:12 p.m.