Triple

T19521511
Position Surface form Disambiguated ID Type / Status
Subject Brad Alan Grey E488410 entity
Predicate spouse P13 FINISHED
Object Jill Gutterson 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: Jill Gutterson | Statement: [Brad Alan Grey, spouse, Jill Gutterson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jill Gutterson
Context triple: [Brad Alan Grey, spouse, Jill Gutterson]
  • A. Jill Gutterson chosen
    Jill Gutterson is known as the former wife of late Hollywood producer and Paramount Pictures CEO Brad Grey.
  • B. Jill Roberts
    Jill Roberts is a central antagonist in the horror film "Scream 4," known as Sidney Prescott’s younger cousin who orchestrates a new Ghostface killing spree.
  • C. Jill Saint
    Jill Saint is the daughter of English novelist Dora Saint, better known by her pen name Miss Read, famed for her rural school and village stories.
  • D. Lindy Robbins
    Lindy Robbins is an American songwriter known for crafting hit pop songs for major artists across the contemporary music industry.
  • E. Julie Beckman
    Julie Beckman is an American architect best known for co-designing the National 9/11 Pentagon Memorial in Arlington, Virginia.
  • 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_69d8e8da8bec819081f400199491ccc3 completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e635a0b37c8190b70b7427c2e85f59 completed April 20, 2026, 2:18 p.m.
Created at: April 10, 2026, 1:40 p.m.