Triple
T19258409
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Every Drop of Your Love |
E481581
|
entity |
| Predicate | performerCareerPhase |
P59782
|
FINISHED |
| Object | Stacy Lattisaw's 1980s recording career |
—
|
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: Stacy Lattisaw's 1980s recording career | Statement: [Every Drop of Your Love, performerCareerPhase, Stacy Lattisaw's 1980s recording career]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: performerCareerPhase Context triple: [Every Drop of Your Love, performerCareerPhase, Stacy Lattisaw's 1980s recording career]
-
A.
hasStageCareer
Indicates that an entity has pursued or been involved in a professional career in stage performance or theater.
-
B.
performerOn
Indicates that an entity serves as the performer or executing agent of an action, event, or work associated with another entity.
-
C.
roleInPerformanceHistory
Indicates the specific role or function an entity held within a particular performance, as recorded in a historical context.
-
D.
partOfCreativeCareerOf
chosen
Indicates that one entity represents a work, role, or activity that forms a component or phase within another entity’s overall creative career.
-
E.
chronologicallyPrecedesCareerPhase
Indicates that one career phase occurs earlier in time than another career phase.
- 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_69d8e8cd9d1081908a181d02b88b59b8 |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e5fb8752488190ae2dfd2d79373a4b |
completed | April 20, 2026, 10:10 a.m. |
| PD | Predicate disambiguation | batch_69e4dd002d00819088b625056edfb74e |
completed | April 19, 2026, 1:47 p.m. |
Created at: April 10, 2026, 1:28 p.m.