Triple

T9430304
Position Surface form Disambiguated ID Type / Status
Subject Grant Tinker E227356 entity
Predicate fullName P16 FINISHED
Object Grant Almerin Tinker E227356 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: Grant Almerin Tinker | Statement: [Grant Tinker, fullName, Grant Almerin Tinker]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Grant Almerin Tinker
Context triple: [Grant Tinker, fullName, Grant Almerin Tinker]
  • A. Grant Tinker chosen
    Grant Tinker was an influential American television executive and producer, best known as the co-founder of MTM Enterprises and former chairman and CEO of NBC.
  • B. John Dye
    John Dye was an American actor best known for his role as the angel Andrew on the television series "Touched by an Angel."
  • C. Cid Ricketts Sumner
    Cid Ricketts Sumner was an American novelist best known for her socially conscious works, including the novel that inspired the film "Pinky."
  • D. Byron Harrison
    Byron Harrison is an English professional footballer known for playing as a striker for various lower-league clubs.
  • E. Daniel Sallis Huston
    Daniel Sallis Huston is an American actor and film director known for his character roles in movies such as "The Constant Gardener," "X-Men Origins: Wolverine," and "21 Grams," as well as for being a member of the prominent Huston filmmaking family.
  • 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_69ca8436ba308190903e470776d2d893 completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd7e5ed7408190beda5fb078e9345a completed April 1, 2026, 8:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69d11038f7b88190bd6b895f5544c63e completed April 4, 2026, 1:20 p.m.
Created at: March 30, 2026, 7:49 p.m.