Triple
T12120693
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rachel |
E288684
|
entity |
| Predicate | employer |
P7
|
FINISHED |
| Object | Coyote Ugly bar |
E701839
|
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: Coyote Ugly bar | Statement: [Rachel, employer, Coyote Ugly bar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Coyote Ugly bar Context triple: [Rachel, employer, Coyote Ugly bar]
-
A.
Coyote Ugly Saloon
chosen
Coyote Ugly Saloon is a famous American bar chain known for its rowdy atmosphere, dancing bartenders, and inspiration for the film "Coyote Ugly."
-
B.
Coyote Ugly
Coyote Ugly is a 2000 romantic musical comedy-drama film about a young songwriter who finds herself working at a rowdy New York City bar known for its dancing bartenders.
-
C.
All Bar One
All Bar One is a UK-based chain of stylish city-centre bars known for serving cocktails, wine, and modern pub food in a contemporary setting.
-
D.
The Rooster Bar
The Rooster Bar is a legal thriller novel by bestselling American author John Grisham that follows law students entangled in a predatory student-loan and for-profit law school scheme.
-
E.
Foxy's Bar
Foxy's Bar is a famous beachfront bar and live-music hotspot on the island of Jost Van Dyke in the British Virgin Islands, popular with sailors and tourists for its lively parties and Caribbean atmosphere.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d6ab4b5e4c81909950b17151eb0951 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d91577a03c81909add7a5d7324a648 |
completed | April 10, 2026, 3:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f5f684172c81908b77daa243dc8ed8 |
completed | May 2, 2026, 1:05 p.m. |
Created at: April 8, 2026, 9:49 p.m.