Triple

T10368813
Position Surface form Disambiguated ID Type / Status
Subject Robert Shaw E244321 entity
Predicate spouse P13 FINISHED
Object Jennifer Bourke E244321 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: Jennifer Bourke | Statement: [Robert Shaw, spouse, Jennifer Bourke]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jennifer Bourke
Context triple: [Robert Shaw, spouse, Jennifer Bourke]
  • A. Jennifer Bourke chosen
    Jennifer Bourke is known as the spouse of actor Robert Shaw.
  • B. Lisa Bryer
    Lisa Bryer is a British film producer best known for her work on acclaimed independent films, including the award-winning drama "The Last King of Scotland."
  • C. Jennifer Arnott
    Jennifer Arnott is best known as the longtime wife of acclaimed American actor Brian Dennehy.
  • D. Lindsay Pearce
    Lindsay Pearce is an American actress and singer best known for her appearances on "The Glee Project" and "Glee," as well as for her work in musical theatre.
  • E. Katherine Wilkinson
    Katherine Wilkinson is a climate strategist, author, and speaker known for her work on solutions-focused climate communication and leadership, including co-editing the influential book "All We Can Save."
  • 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_69d381b3e328819094b23b8edcd29b5a completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4e9725fa08190816bedf0acefbc2a completed April 7, 2026, 11:24 a.m.
NED1 Entity disambiguation (via context triple) batch_69d9987838ac8190a6ba09305fc27621 completed April 11, 2026, 12:40 a.m.
Created at: April 6, 2026, 12:01 p.m.