Triple

T11623093
Position Surface form Disambiguated ID Type / Status
Subject Greg Grunberg E276188 entity
Predicate knownForCharacter P15030 FINISHED
Object Matt Parkman E907122 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: Matt Parkman | Statement: [Greg Grunberg, knownForCharacter, Matt Parkman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Matt Parkman
Context triple: [Greg Grunberg, knownForCharacter, Matt Parkman]
  • A. Matt Parkman chosen
    Matt Parkman is a fictional police officer with telepathic abilities in the television series "Heroes."
  • B. Chauncey Goss
    Chauncey Goss is an American public official and policy analyst known for his work in fiscal policy and water management in Florida.
  • C. Louis Tully
    Louis Tully is a nerdy, well-meaning accountant and neighbor of Dana Barrett who becomes a comedic, possessed pawn of Gozer in the Ghostbusters films.
  • D. Charles Grigsby
    Charles Grigsby is an American singer best known for reaching the finals on the second season of the television talent competition American Idol.
  • E. Henry McHenry
    Henry McHenry is an American paleoanthropologist and professor known for his research on human evolution, particularly the biomechanics and locomotion of early hominins.
  • 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_69d6aafa51148190ab84940694c00235 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a122a3708190ab6513dad4c4fde7 completed April 10, 2026, 7:05 a.m.
NED1 Entity disambiguation (via context triple) batch_69ee8762586481909a4b563c827487e0 completed April 26, 2026, 9:45 p.m.
Created at: April 8, 2026, 9:39 p.m.