Triple
T18147990
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Supreme |
E434435
|
entity |
| Predicate | interpolatesWorkBy |
P93555
|
FINISHED |
| Object | Gloria Gaynor |
—
|
NE NERFINISHED |
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: Gloria Gaynor | Statement: [Supreme, interpolatesWorkBy, Gloria Gaynor]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gloria Gaynor Context triple: [Supreme, interpolatesWorkBy, Gloria Gaynor]
-
A.
Gloria Gaynor
chosen
Gloria Gaynor is an American disco and soul singer best known for her iconic 1978 hit "I Will Survive," a defining anthem of resilience and empowerment.
-
B.
Cheryl Lynn
Cheryl Lynn is an American R&B and disco singer best known for her 1978 hit single "Got to Be Real."
-
C.
Evelyn "Champagne" King
Evelyn "Champagne" King is an American R&B and disco singer best known for her 1977 hit "Shame" and her influential work in late-1970s and 1980s dance music.
-
D.
Donna Summer
Donna Summer was an American singer, songwriter, and “Queen of Disco” whose powerful vocals and string of 1970s and 1980s dance hits made her an icon of popular music.
-
E.
Nadine Ross
Nadine Ross is a formidable South African mercenary leader and skilled combatant in the Uncharted video game series.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8b90aac308190801e2c57d8c5bfe5 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4de360ae88190abe1ed13243e9924 |
completed | April 19, 2026, 1:52 p.m. |
Created at: April 10, 2026, 10:29 a.m.