Triple

T6125826
Position Surface form Disambiguated ID Type / Status
Subject What Makes a Family E136592 entity
Predicate executiveProducer P7225 FINISHED
Object Cis Corman E540143 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: Cis Corman | Statement: [What Makes a Family, executiveProducer, Cis Corman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cis Corman
Context triple: [What Makes a Family, executiveProducer, Cis Corman]
  • A. Cis Corman chosen
    Cis Corman was an American casting director and film producer known for her long-time collaboration with Barbra Streisand on several major films.
  • B. Robert Stevens
    Robert Stevens was an American television and film director best known for his work on classic anthology series such as Alfred Hitchcock Presents.
  • C. John Hyams
    John Hyams is an American film and television director, producer, and screenwriter known for his work in action and horror, including the series "Black Summer" and entries in the "Universal Soldier" franchise.
  • D. Conrad Riggs
    Conrad Riggs is a television producer best known for his executive production work on major reality TV franchises, including "The Apprentice."
  • E. Tom Hiel
    Tom Hiel is an American film and television composer known for scoring a variety of genre projects, including cult and horror films.
  • 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_69c008a0a37c81908e5b4f879158afb3 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c05c28dbbc8190a0a0c20ec794e81a completed March 22, 2026, 9:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69c135bd8d3881909873d2a063b3aecc completed March 23, 2026, 12:44 p.m.
Created at: March 22, 2026, 4:14 p.m.