Triple
T21536723
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Crossing Over |
E531367
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object | Cliff Curtis |
—
|
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: Cliff Curtis | Statement: [Crossing Over, starring, Cliff Curtis]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cliff Curtis Context triple: [Crossing Over, starring, Cliff Curtis]
-
A.
Cliff Curtis
chosen
Cliff Curtis is a New Zealand actor known for his versatile character roles in both Hollywood films and local cinema, including prominent appearances in action, drama, and genre movies.
-
B.
Jack Huston
Jack Huston is a British actor known for his acclaimed role as disfigured World War I veteran Richard Harrow on the HBO series "Boardwalk Empire," as well as performances in films like "American Hustle" and "Ben-Hur."
-
C.
Cliff Smith
Cliff Smith is an actor known for his role in the film "The Breaks."
-
D.
David Leahy
David Leahy is a notable individual recognized for achievements significant enough to be associated with the surname Leahy.
-
E.
Richard Gant
Richard Gant is an American character actor known for his roles in film and television, often portraying authoritative or tough-minded figures.
- 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_69e0c45e5b8881908ac18fc2f493b114 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69ee9d0e5a9c8190894ec3666d3296aa |
completed | April 26, 2026, 11:17 p.m. |
Created at: April 16, 2026, 6:27 p.m.