Triple
T17916636
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tricia O'Kelley |
E447942
|
entity |
| Predicate | hasActedIn |
P15620
|
FINISHED |
| Object | Weather Girl |
—
|
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: Weather Girl | Statement: [Tricia O'Kelley, hasActedIn, Weather Girl]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Weather Girl Context triple: [Tricia O'Kelley, hasActedIn, Weather Girl]
-
A.
Weather Girl
chosen
Weather Girl is a romantic comedy film in which a TV weather forecaster’s on-air meltdown upends her career and love life.
-
B.
Weatherman
Weatherman is a track by rapper and producer J Dilla, featured on his posthumous album "The Shining."
-
C.
The Weatherman
The Weatherman is a component or segment within the larger work "History Books," likely serving as a distinct chapter, story, or track that contributes to the overall narrative or theme.
-
D.
The Weather Man
The Weather Man is a 2005 dark comedy-drama film starring Nicolas Cage as a troubled Chicago TV weatherman struggling with family and personal crises.
-
E.
Wetter
"Wetter" is a popular 2009 hip hop and R&B single by American rapper Twista, known for its sensual lyrics and smooth, melodic production.
- 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_69d8b9f6d394819082a6d69fd1e23d2f |
completed | April 10, 2026, 8:51 a.m. |
| NER | Named-entity recognition | batch_69e4a3062bfc819083f7c0521bad4db8 |
completed | April 19, 2026, 9:40 a.m. |
Created at: April 10, 2026, 10:20 a.m.