Triple

T14731419
Position Surface form Disambiguated ID Type / Status
Subject George Herman Ruth Jr. E346082 entity
Predicate spouse P13 FINISHED
Object Helen Woodford E999943 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: Helen Woodford | Statement: [George Herman Ruth Jr., spouse, Helen Woodford]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Helen Woodford
Context triple: [George Herman Ruth Jr., spouse, Helen Woodford]
  • A. Helen Woodford chosen
    Helen Woodford was the first wife of legendary baseball player Babe Ruth, with whom she was married during the early peak of his career.
  • B. Helen Wood
    Helen Wood is the wife of Scottish businessman and philanthropist Sir Ian Wood, former chairman of the Wood Group.
  • C. Helen Wood
    Helen Wood was the wife of British novelist John Braine, known for his influential 1957 novel "Room at the Top."
  • D. Helen Wright
    Helen Wright is a wealthy, emotionally volatile socialite who becomes romantically entangled with a young violin prodigy in the film "Humoresque."
  • E. Helen Willis
    Helen Willis is a central character on the sitcom "The Jeffersons," known as Louise Jefferson’s close friend and one half of the show’s groundbreaking interracial couple.
  • 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_69d822e5911c8190ba589f957dbd9ba7 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69dec26311c8819093a81ff0fa43b33b completed April 14, 2026, 10:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69ff9976bc888190a050c2502d1f8e81 completed May 9, 2026, 8:30 p.m.
Created at: April 10, 2026, 1:29 a.m.