Triple

T15013486
Position Surface form Disambiguated ID Type / Status
Subject Martha Stewart E377896 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 Stewart, spouse, Andrew Stewart]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Andrew Stewart
Context triple: [Martha Stewart, 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 is a cinematographer known for his work on major feature films, including collaborations with director Guy Ritchie.
  • D. Alan Stewart
    Alan Stewart was a medieval Scottish nobleman of the Stewart family, known primarily as a son of Walter Stewart, Earl of Atholl.
  • 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_69d85cd3a3c881908c71fc424d459c17 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69ded7613cec8190ac25e3f68c5d0edf completed April 15, 2026, 12:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69fea5ae816c8190a36abb46bbdaad7b completed May 9, 2026, 3:10 a.m.
Created at: April 10, 2026, 2:55 a.m.