Triple

T7714305
Position Surface form Disambiguated ID Type / Status
Subject Heat (1995 film) E174842 entity
Predicate stars P1956 FINISHED
Object Val Kilmer E97275 NE FINISHED

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 Kilmer | Statement: [Heat (1995 film), stars, Val Kilmer]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Val Kilmer
Context triple: [Heat (1995 film), stars, Val Kilmer]
  • A. Val Kilmer chosen
    Val Kilmer is an American actor known for his versatile performances in films such as "Top Gun," "The Doors," and "Batman Forever."
  • B. Nicolas Cage
    Nicolas Cage is an American actor known for his intense and eclectic performances across action, drama, and independent films.
  • C. Jason Patric
    Jason Patric is an American film and stage actor known for roles in movies such as "The Lost Boys," "Sleepers," and "Speed 2: Cruise Control."
  • D. James Remar
    James Remar is an American character actor known for his intense and often villainous roles in film and television, including notable performances in projects like "Dexter," "The Warriors," and "48 Hrs."
  • E. Mickey Rourke
    Mickey Rourke is an American actor and former boxer known for his intense, brooding performances in films such as "The Wrestler," "9½ Weeks," and "Angel Heart."
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69c6995c463c8190a14458036249d419 completed March 27, 2026, 2:51 p.m.
NER Named-entity recognition batch_69c702ca8f048190a6ea27b8cee2f93e completed March 27, 2026, 10:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8acd5e32c8190869834b21aeae8a7 completed March 29, 2026, 4:38 a.m.
Created at: March 27, 2026, 4:04 p.m.