Triple
T22022291
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Terminal (2018 film) |
E543873
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object | Dexter Fletcher |
—
|
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: Dexter Fletcher | Statement: [Terminal (2018 film), starring, Dexter Fletcher]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dexter Fletcher Context triple: [Terminal (2018 film), starring, Dexter Fletcher]
-
A.
Dexter Fletcher
chosen
Dexter Fletcher is a British actor and film director known for directing movies such as "Rocketman" and for his long career in UK television and cinema.
-
B.
Michael Caton-Jones
Michael Caton-Jones is a Scottish film director known for works such as "Scandal," "Rob Roy," and "The Jackal."
-
C.
Eddie Wright
Eddie Wright is known as one of the children of Hall of Fame college basketball coach Jay Wright.
-
D.
Oliver Parker
Oliver Parker is a British filmmaker and screenwriter known for directing literary adaptations such as the 1995 film version of Shakespeare’s "Othello."
-
E.
Gareth Walters
Gareth Walters was a Welsh composer and music educator known for his lyrical orchestral and choral works in the mid-20th century.
- 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_69e11e2e8ea4819084210fe06d3a1b8d |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f127c8ac6881909a9e96e0873a3ae2 |
completed | April 28, 2026, 9:34 p.m. |
Created at: April 16, 2026, 8:23 p.m.