Triple

T15099295
Position Surface form Disambiguated ID Type / Status
Subject Redhead E360619 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: [Redhead, bookBy, Herbert Fields]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Herbert Fields
Context triple: [Redhead, 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_69d85a035aa88190b52a139d3a1b7b6d completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e0054f00388190a5123d9f4a869b96 completed April 15, 2026, 9:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69feb7e6fc7c8190b517a7daa567d67c completed May 9, 2026, 4:28 a.m.
Created at: April 10, 2026, 3:04 a.m.