Triple

T3836455
Position Surface form Disambiguated ID Type / Status
Subject Joanne Whalley E91143 entity
Predicate spouse P13 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: [Joanne Whalley, spouse, Val Kilmer]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Val Kilmer
Context triple: [Joanne Whalley, spouse, 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. 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."
  • D. 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."
  • E. Robert Urich
    Robert Urich was an American actor best known for his roles in television series such as "Vega$," "Spenser: For Hire," and "Lonesome Dove."
  • 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_69aed960b538819096561c8ed448dec9 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aeeb9baa508190800e73bf186f046e completed March 9, 2026, 3:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69b51228a7a48190bc42898be15b450b completed March 14, 2026, 7:45 a.m.
Created at: March 9, 2026, 3:18 p.m.