Triple
T22574235
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | You're Next |
E544350
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Keith Calder |
—
|
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: Keith Calder | Statement: [You're Next, producer, Keith Calder]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Keith Calder Context triple: [You're Next, producer, Keith Calder]
-
A.
Keith Calder
chosen
Keith Calder is a film producer known for his work on independent and genre films, including titles like "The Wackness" and "Blair Witch."
-
B.
Daniel Calder
Daniel Calder is a central fictional protagonist in the narrative of "The Red Line."
-
C.
Ben Calder
Ben Calder is a central character in the romantic comedy film "Chasing Liberty," serving as the undercover Secret Service agent assigned to protect the U.S. President's rebellious daughter while posing as her love interest.
-
D.
Keith Caldwell
Keith Caldwell was a distinguished New Zealand World War I flying ace and later senior Royal Air Force officer renowned for his leadership and combat record.
-
E.
Keith Burkinshaw
Keith Burkinshaw is an English football manager best known for his successful spell in charge of Tottenham Hotspur in the late 1970s and early 1980s.
- 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_69e11e30d05481909df915354c89f0d6 |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f15fec296481908a6101b02e5bedaa |
completed | April 29, 2026, 1:33 a.m. |
Created at: April 16, 2026, 8:53 p.m.