Triple

T22838391
Position Surface form Disambiguated ID Type / Status
Subject I.Q. E566008 entity
Predicate producer P490 FINISHED
Object Carol Baum NE NERFINISHED

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: Carol Baum | Statement: [I.Q., producer, Carol Baum]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Carol Baum
Context triple: [I.Q., producer, Carol Baum]
  • A. Carol Baum chosen
    Carol Baum is an American film producer known for her work on numerous feature films, including the 1992 drama "Shining Through."
  • B. Susan Buckman
    Susan Buckman is a central character in the film "Parenthood," portrayed as an overachieving, perfectionist mother struggling to balance her ambitions with the demands of family life.
  • C. Amy Lindley
    Amy Lindley is a fictional character from the television series "Dawson's Creek," known as the daughter of Jen Lindley.
  • D. Margaret Link
    Margaret Link is known primarily as the wife of American television writer and producer William Link, co-creator of classic series such as "Columbo" and "Murder, She Wrote."
  • E. Diane Freeling
    Diane Freeling is the mother and central protagonist in the 1982 horror film "Poltergeist," known for her desperate efforts to save her daughter from malevolent supernatural forces.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e245869e188190a196584f36e682da completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f17e8244dc819089c0a7525fb512ab completed April 29, 2026, 3:44 a.m.
Created at: April 17, 2026, 3:35 p.m.