Triple

T14009948
Position Surface form Disambiguated ID Type / Status
Subject Up in Central Park E337051 entity
Predicate bookBy P2353 FINISHED
Object Herbert Fields E505783 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: Herbert Fields | Statement: [Up in Central Park, bookBy, Herbert Fields]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Herbert Fields
Context triple: [Up in Central Park, bookBy, Herbert Fields]
  • A. Herbert Fields chosen
    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.
  • B. Joseph Fields
    Joseph Fields was an American playwright, screenwriter, and producer known for his work on Broadway and in Hollywood during the mid-20th century.
  • C. Edward Garfield
    Edward Garfield was the son of U.S. President James A. Garfield and First Lady Lucretia Rudolph Garfield, who died in infancy.
  • D. Robert Fields
    Robert Fields is an American actor best known for his role in the 1969 film "They Shoot Horses, Don't They?"
  • E. 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.
  • 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_69d81c645c5c8190b1fd16a285a1b78a completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de2ed44f90819099ad08c09c066b56 completed April 14, 2026, 12:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69fbaca7bbd88190a377d3b74f3d6224 completed May 6, 2026, 9:03 p.m.
Created at: April 9, 2026, 10:19 p.m.