Triple

T21383753
Position Surface form Disambiguated ID Type / Status
Subject Charles Grodin E527434 entity
Predicate spouse P13 FINISHED
Object Julie Ferguson 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: Julie Ferguson | Statement: [Charles Grodin, spouse, Julie Ferguson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Julie Ferguson
Context triple: [Charles Grodin, spouse, Julie Ferguson]
  • A. Julie Ferguson chosen
    Julie Ferguson is the wife of the late American actor and comedian Charles Grodin.
  • B. Julie Fudge
    Julie Fudge is the daughter of legendary American country singer Patsy Cline and has been involved in preserving and promoting her mother's musical legacy.
  • C. Julie Richardson
    Julie Richardson is a film producer best known for her work on the acclaimed crime thriller "Collateral."
  • D. Julie Hagerty
    Julie Hagerty is an American actress and former model best known for her comedic roles in films such as "Airplane!" and "What About Bob?".
  • E. Julie Graham
    Julie Graham is a Scottish actress known for her work in British television drama and comedy, including prominent roles in series such as "William and Mary," "Survivors," and "Benidorm."
  • 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_69e0b51f363c8190944000ab5523b02b completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e8b0f164d08190a7df85451c082f53 completed April 22, 2026, 11:28 a.m.
Created at: April 16, 2026, 5:12 p.m.