Triple
T17564999
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Val Edward Kilmer |
E427787
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Val Edward Kilmer |
—
|
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: Val Edward Kilmer | Statement: [Val Edward Kilmer, name, Val Edward Kilmer]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Val Edward Kilmer Context triple: [Val Edward Kilmer, name, Val Edward Kilmer]
-
A.
Val Edward Kilmer
chosen
Val Edward Kilmer is an American actor known for his versatile roles in films such as "Top Gun," "The Doors," "Heat," and "Batman Forever."
-
B.
Van Chancellor
Van Chancellor is a Hall of Fame basketball coach best known for leading the Houston Comets to four consecutive WNBA championships and for his long, successful career in women’s college and professional basketball.
-
C.
Michael Vidal
Michael Vidal is a local political leader who serves as the mayor of the Maltese town of Ramla.
-
D.
Brett Cullen
Brett Cullen is an American actor known for his numerous film and television roles, including playing Thomas Wayne in the 2019 film "Joker."
-
E.
Jeremy Grey
Jeremy Grey is a charismatic, fast-talking divorce mediator and womanizer portrayed by Vince Vaughn in the comedy film "Wedding Crashers."
- 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_69d889e0385081908a04b66f4dd4bd0d |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e4592ce42c8190a54a0a328c5e8ffc |
completed | April 19, 2026, 4:25 a.m. |
Created at: April 10, 2026, 5:50 a.m.