Triple

T14766314
Position Surface form Disambiguated ID Type / Status
Subject Ghost Whisperer E347003 entity
Predicate executiveProducer P7225 FINISHED
Object John Gray E1119099 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: John Gray | Statement: [Ghost Whisperer, executiveProducer, John Gray]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: John Gray
Context triple: [Ghost Whisperer, executiveProducer, John Gray]
  • A. John Gray
    John Gray is a British political philosopher and author known for his critiques of liberalism, Enlightenment rationalism, and modern humanism.
  • B. John Gray chosen
    John Gray is an American television writer and producer best known for creating the supernatural drama series "Ghost Whisperer."
  • C. Paul Browne
    Paul Browne is a relatively common personal name shared by multiple individuals, including professionals in fields such as sports, law enforcement, and academia.
  • D. J. Glenn Gray
    J. Glenn Gray was an American philosopher, essayist, and translator known for his writings on war, existentialism, and his influential translations of Martin Heidegger.
  • E. Brad Alan Grey
    Brad Alan Grey was an American television and film producer who served as chairman and CEO of Paramount Pictures, overseeing numerous successful movies and TV shows.
  • 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_69d822e8896c819091169882f9b20486 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69dec7f576c881909da70627f5897c94 completed April 14, 2026, 11:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe24b1ff0c81908d5dffbaf86c3ca3 completed May 8, 2026, 6 p.m.
Created at: April 10, 2026, 1:30 a.m.