Triple

T20104825
Position Surface form Disambiguated ID Type / Status
Subject Brad Grey E490139 entity
Predicate spouseOf 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 Grey, spouseOf, Jill Gutterson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jill Gutterson
Context triple: [Brad Grey, spouseOf, 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_69da62636cc08190982cc71733a17b8d completed April 11, 2026, 3:01 p.m.
NER Named-entity recognition batch_69e666daf73c819089f02ca6faa2c283 completed April 20, 2026, 5:48 p.m.
Created at: April 11, 2026, 11:28 p.m.