Triple

T9326611
Position Surface form Disambiguated ID Type / Status
Subject Dorothy Fields E224402 entity
Predicate sibling P363 FINISHED
Object Joseph Fields E351214 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: Joseph Fields | Statement: [Dorothy Fields, sibling, Joseph Fields]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Joseph Fields
Context triple: [Dorothy Fields, sibling, Joseph Fields]
  • A. Joseph Fields chosen
    Joseph Fields was an American playwright, screenwriter, and producer known for his work on Broadway and in Hollywood during the mid-20th century.
  • B. Ron Field
    Ron Field was an American choreographer and director best known for his innovative work on Broadway musicals in the mid-20th century.
  • C. J. C. Fields
    J. C. Fields was a Canadian mathematician best known for founding the Fields Medal, one of the most prestigious awards in mathematics.
  • D. Edmund Fielding
    Edmund Fielding was a British army officer and the father of novelist and playwright Henry Fielding.
  • E. Herbert Fields
    Herbert Fields was an American librettist and playwright best known for writing the books for numerous successful Broadway musicals in the early to mid-20th century.
  • 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_69ca8427a0c08190b749831d5ea98f02 completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd36f88e988190bb896a3d7c3c723c completed April 1, 2026, 3:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69d0e3b5c6488190b2ca4fd546dda82f completed April 4, 2026, 10:11 a.m.
Created at: March 30, 2026, 7:39 p.m.