Triple

T15418150
Position Surface form Disambiguated ID Type / Status
Subject Martha Helen Kostyra E369303 entity
Predicate spouse P13 FINISHED
Object Andrew Stewart E377896 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: Andrew Stewart | Statement: [Martha Helen Kostyra, spouse, Andrew Stewart]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Andrew Stewart
Context triple: [Martha Helen Kostyra, spouse, Andrew Stewart]
  • A. Andrew Stewart chosen
    Andrew Stewart is an American lawyer and publisher best known as the former husband of lifestyle entrepreneur Martha Stewart.
  • B. Andrew Stewart
    Andrew Stewart was a medieval Scottish nobleman of the influential Stewart family, known primarily as a son of Walter Stewart, 6th High Steward of Scotland.
  • C. Alan Stewart
    Alan Stewart was a medieval Scottish nobleman of the Stewart family, known primarily as a son of Walter Stewart, Earl of Atholl.
  • D. Alan Stewart
    Alan Stewart is a cinematographer known for his work on major feature films, including collaborations with director Guy Ritchie.
  • E. Alex Stewart
    Alex Stewart is a central character in Cecelia Ahern’s romantic novel and its film adaptation, whose lifelong friendship and complicated love story with Rosie Dunne drive the narrative.
  • 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_69d85a1849f48190bf898068b2806fae completed April 10, 2026, 2:02 a.m.
NER Named-entity recognition batch_69e03ebce4f48190ba282ecb4fb2f6fa completed April 16, 2026, 1:43 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff82e376f08190b5ae9793a0381204 completed May 9, 2026, 6:54 p.m.
Created at: April 10, 2026, 3:20 a.m.