Triple
T2687259
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bridget Moynahan |
E57512
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Coyote Ugly |
E184630
|
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 | Statement: [Bridget Moynahan, notableWork, Coyote Ugly]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Coyote Ugly Context triple: [Bridget Moynahan, notableWork, Coyote Ugly]
-
A.
Coyote Ugly
chosen
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.
-
B.
Lipstick Jungle
Lipstick Jungle is an American comedy-drama television series that follows the professional and personal lives of three powerful women navigating careers and relationships in New York City.
-
C.
O-Town
O-Town is a popular nickname for the city of Orlando, Florida, often used in local culture and media.
-
D.
O-Town
O-Town is an American boy band formed on the reality TV series "Making the Band," known for early-2000s pop hits like "Liquid Dreams" and "All or Nothing."
-
E.
Womanizer
"Womanizer" is a 2008 electropop single by Britney Spears known for its catchy hook, feminist-leaning lyrics, and role in revitalizing her career.
- 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_69ab4a5028388190a36f3baf1588309e |
completed | March 6, 2026, 9:42 p.m. |
| NER | Named-entity recognition | batch_69abd9f080108190ab662a3a064cb5a9 |
completed | March 7, 2026, 7:55 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69afa07228088190bb4942b3a25c938b |
completed | March 10, 2026, 4:39 a.m. |
Created at: March 6, 2026, 9:54 p.m.