Triple
T12090170
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Long Firm |
E287920
|
entity |
| Predicate | starred |
P5563
|
FINISHED |
| Object | Phil Davis |
E288079
|
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: Phil Davis | Statement: [The Long Firm, starred, Phil Davis]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Phil Davis Context triple: [The Long Firm, starred, Phil Davis]
-
A.
Phil Davis
Phil Davis is a charming, quick-witted song-and-dance man and army veteran who partners with Bob Wallace in the classic musical film "White Christmas."
-
B.
Phil Davis
chosen
Phil Davis is an English actor and director known for his character roles in film and television, including prominent work in British crime dramas and literary adaptations.
-
C.
Kevin Davis
Kevin Davis is a Canadian municipal politician who serves as the mayor of Brantford, Ontario.
-
D.
Brad Davis
Brad Davis is an American musician best known as a member of the country rock band The Boxmasters.
-
E.
Phil Bradley
Phil Bradley is a former American Major League Baseball outfielder best known for his time with the Seattle Mariners and Philadelphia Phillies in the 1980s.
- 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_69d6ab4964708190850585628b287b0c |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d915161f848190a6355c1e372eadaa |
completed | April 10, 2026, 3:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f5f66b2eb48190bae469d1dd82b119 |
completed | May 2, 2026, 1:04 p.m. |
Created at: April 8, 2026, 9:48 p.m.