Triple
T20883885
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nell (1994 film) |
E514221
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object | Nick Searcy |
—
|
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: Nick Searcy | Statement: [Nell (1994 film), starring, Nick Searcy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nick Searcy Context triple: [Nell (1994 film), starring, Nick Searcy]
-
A.
Nick Searcy
chosen
Nick Searcy is an American character actor and director known for his roles in film and television, including his portrayal of Chief Deputy Art Mullen on the TV series "Justified."
-
B.
Carl Kundmann
Carl Kundmann was a 19th-century Austrian sculptor known for prominent public monuments and allegorical works in Vienna.
-
C.
Gerald McRaney
Gerald McRaney is an American actor best known for his television roles in series such as "Simon & Simon," "Major Dad," and "This Is Us."
-
D.
Jonathan Banks
Jonathan Banks is an American character actor best known for his acclaimed portrayal of fixer Mike Ehrmantraut in the television dramas Breaking Bad and Better Call Saul.
-
E.
Jeremy Piven
Jeremy Piven is an American actor best known for his Emmy-winning role as fast-talking agent Ari Gold on the television series "Entourage" and for numerous film and stage performances.
- 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_69e0b4f733f081908a401c0b7beb0b9f |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c67bd32c819097301e330e358c49 |
completed | April 21, 2026, 12:36 a.m. |
Created at: April 16, 2026, 12:46 p.m.