Triple

T390490
Position Surface form Disambiguated ID Type / Status
Subject Florence Nightingale Graham E8868 entity
Predicate spouse P13 FINISHED
Object Thomas Lewis E58526 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: Thomas Lewis | Statement: [Florence Nightingale Graham, spouse, Thomas Lewis]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Thomas Lewis
Context triple: [Florence Nightingale Graham, spouse, Thomas Lewis]
  • A. Thomas Lewis chosen
    Thomas Lewis was the husband of cosmetics entrepreneur Elizabeth Arden, a pioneering figure in the early 20th-century beauty industry.
  • B. Francis West Lewis
    Francis West Lewis was a 19th-century American physician best known for co-founding the Children's Hospital of Philadelphia, one of the first pediatric hospitals in the United States.
  • C. John Gilroy
    John Gilroy is a film editor known for his work on major Hollywood productions, including the science-fiction monster film "Pacific Rim."
  • D. James Dodd
    James Dodd is an actor known for his role in the fantasy superhero film "Hellboy II: The Golden Army."
  • E. John Bennett
    John Bennett is the central human protagonist of the comedy film "Ted 2," known for his lifelong friendship with his foul-mouthed, living teddy bear.
  • 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_69a2e7f55c60819097aff65ea2ca2832 completed Feb. 28, 2026, 1:04 p.m.
NER Named-entity recognition batch_69a2ec5d73e881909101308a583c8f13 completed Feb. 28, 2026, 1:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69aca2c23ed481909453508bec526fd0 completed March 7, 2026, 10:12 p.m.
Created at: Feb. 28, 2026, 1:08 p.m.