Triple

T16441580
Position Surface form Disambiguated ID Type / Status
Subject Models Inc. E399313 entity
Predicate hasCastMember P2308 FINISHED
Object Linda Gray E787714 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: Linda Gray | Statement: [Models Inc., hasCastMember, Linda Gray]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Linda Gray
Context triple: [Models Inc., hasCastMember, Linda Gray]
  • A. Linda Gray
    Linda Gray is the longtime wife of Bee Gees singer Barry Gibb, known for her enduring marriage to the music icon since the 1970s.
  • B. Linda Gray chosen
    Linda Gray is an American actress best known for her role as Sue Ellen Ewing on the long-running television series "Dallas."
  • C. Linda Gray Sexton
    Linda Gray Sexton is an American writer and memoirist known for her novels and for editing and chronicling the life and work of her mother, poet Anne Sexton.
  • D. Vera Miles
    Vera Miles is an American actress best known for her roles in classic Alfred Hitchcock films, including "Psycho" and "The Wrong Man."
  • E. Anita Louise
    Anita Louise was an American film and television actress best known for her delicate, ethereal screen presence in 1930s Hollywood productions.
  • 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_69d87f2c6778819080fcfae53be8f12a completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e32ba91dc48190bc35db60f63d36d3 completed April 18, 2026, 6:58 a.m.
NED1 Entity disambiguation (via context triple) batch_6a00c794355881908fdec356d12a5635 completed May 10, 2026, 5:59 p.m.
Created at: April 10, 2026, 5:10 a.m.