Triple

T13474223
Position Surface form Disambiguated ID Type / Status
Subject Andrew Price E318208 entity
Predicate hasMother P1909 FINISHED
Object Ruth Price E1042936 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: Ruth Price | Statement: [Andrew Price, hasMother, Ruth Price]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ruth Price
Context triple: [Andrew Price, hasMother, Ruth Price]
  • A. Ruth Price chosen
    Ruth Price is a person known primarily as a family member of Andrew Price.
  • B. Moss Hart
    Moss Hart was a prominent American playwright and director best known for his Broadway collaborations with George S. Kaufman and his influential contributions to mid-20th-century theater and film.
  • C. Maxwell Anderson
    Maxwell Anderson was an American playwright, screenwriter, and poet known for his influential verse dramas and contributions to mid-20th-century theater and film.
  • D. Elmer Rice
    Elmer Rice was an American playwright and director best known for his innovative and socially conscious dramas in the early 20th century.
  • E. Dorothy Fields
    Dorothy Fields was a prominent American lyricist and librettist of the 20th century, celebrated for her witty, sophisticated songs for Broadway and Hollywood musicals.
  • 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_69d806b6bfec819089222715b2e86c8e completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69dbaf2447bc81908baf1f4b55095144 completed April 12, 2026, 2:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7547f6b1c8190965b239da0b47e93 completed May 3, 2026, 1:58 p.m.
Created at: April 9, 2026, 9:42 p.m.