Triple

T5986664
Position Surface form Disambiguated ID Type / Status
Subject Stage Women’s War Relief E133242 entity
Predicate notableMember P10 FINISHED
Object Mary Shaw E560074 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: Mary Shaw | Statement: [Stage Women’s War Relief, notableMember, Mary Shaw]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mary Shaw
Context triple: [Stage Women’s War Relief, notableMember, Mary Shaw]
  • A. Mary Shaw chosen
    Mary Shaw was an American actress, suffragist, and social reformer known for her leadership in organizing women’s efforts during World War I and for advocating women’s rights in the early 20th century.
  • B. Mary Shaw
    Mary Shaw is a prominent American computer scientist renowned for her pioneering contributions to software architecture and software engineering research.
  • C. Kim Weston
    Kim Weston is an American soul and R&B singer best known for her 1960s Motown recordings and duets with Marvin Gaye.
  • D. Frances Charles
    Frances Charles was the wife of American film actor Victor Mature, known primarily for her marriage to the Hollywood star.
  • E. Dorothy Shaw
    Dorothy Shaw is the witty, down-to-earth brunette showgirl and best friend of Lorelei Lee in the musical comedy "Gentlemen Prefer Blondes."
  • 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_69c0087010d081908bb8142342d63330 completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c04dc38a308190a368c5c787a5fc64 completed March 22, 2026, 8:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69c1084e9ca481909f585b3d19991a60 completed March 23, 2026, 9:30 a.m.
Created at: March 22, 2026, 4:04 p.m.