Triple
T18718468
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Blair Witch Project |
E457704
|
entity |
| Predicate | castMember |
P1668
|
FINISHED |
| Object | Joshua Leonard |
—
|
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: Joshua Leonard | Statement: [The Blair Witch Project, castMember, Joshua Leonard]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Joshua Leonard Context triple: [The Blair Witch Project, castMember, Joshua Leonard]
-
A.
Joshua Leonard
chosen
Joshua Leonard is an American actor and filmmaker best known for his breakout role in "The Blair Witch Project" and his work in independent film and television.
-
B.
Joshua Jackson
Joshua Jackson is a Canadian actor best known for his roles in the television series "Dawson's Creek," "Fringe," and "The Affair."
-
C.
Luke Busey
Luke Busey is an American actor and the son of Academy Award–nominated actor Gary Busey.
-
D.
Dylan Walsh
Dylan Walsh is an American actor best known for his role as Dr. Sean McNamara on the television series "Nip/Tuck."
-
E.
Kit Connor
Kit Connor is a British actor best known for his role as Nick Nelson in the Netflix series "Heartstopper."
- 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_69d8d393ba9c8190a8b03b04ddbb0a09 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e56ab8198c8190bf2c4acaeb561970 |
completed | April 19, 2026, 11:52 p.m. |
Created at: April 10, 2026, 11:50 a.m.