Triple

T2179955
Position Surface form Disambiguated ID Type / Status
Subject Martha E49016 entity
Predicate hasNotableBearer P458 FINISHED
Object Martha Gellhorn E59400 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: Martha Gellhorn | Statement: [Martha, hasNotableBearer, Martha Gellhorn]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Martha Gellhorn
Context triple: [Martha, hasNotableBearer, Martha Gellhorn]
  • A. Martha Gellhorn chosen
    Martha Gellhorn was a renowned American war correspondent and novelist, celebrated for her vivid frontline reporting across multiple 20th-century conflicts.
  • B. Margaret Bourke-White
    Margaret Bourke-White was a pioneering American photojournalist renowned for her industrial photography, World War II coverage, and iconic images published in Life magazine.
  • C. Helen Gardner
    Helen Gardner is a noted literary scholar and critic, best known for her influential work on English poetry and Renaissance literature.
  • D. Ethel Pyle
    Ethel Pyle is the daughter of American heiress and socialite Ethel du Pont.
  • E. Judith Thurman
    Judith Thurman is an American writer and biographer best known for her acclaimed literary biographies and long-form essays in The New Yorker.
  • 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_69a88aa72d348190a9544bb5b8a4e71d completed March 4, 2026, 7:40 p.m.
NER Named-entity recognition batch_69abbef0e2f0819080ca457fe3b8b419 completed March 7, 2026, 6 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae5da5930c819087e71a609f76e269 completed March 9, 2026, 5:41 a.m.
Created at: March 4, 2026, 7:45 p.m.