Triple

T4372703
Position Surface form Disambiguated ID Type / Status
Subject Doc Watson E98932 entity
Predicate relative P37 FINISHED
Object Merle Watson E435438 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: Merle Watson | Statement: [Doc Watson, relative, Merle Watson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Merle Watson
Context triple: [Doc Watson, relative, Merle Watson]
  • A. Merle Watson chosen
    Merle Watson was an American guitarist and singer best known as the son and musical partner of Doc Watson, with whom he helped popularize flatpicking and traditional American folk and bluegrass music.
  • B. Lonnie Fuller
    Lonnie Fuller is an individual notable enough to be specifically recognized as a bearer of the surname Fuller.
  • C. John Hardin
    John Hardin was an American frontiersman and soldier of the late 18th century, known for his role in early Kentucky and Ohio Valley conflicts and for whom Hardin County, Kentucky, is named.
  • D. Forrest Bondurant
    Forrest Bondurant is a tough, stoic Prohibition-era bootlegger and one of the three Bondurant brothers at the center of the crime drama film "Lawless."
  • E. Walker O. Cain
    Walker O. Cain was a 20th-century American architect known for designing prominent cultural and institutional buildings, including major museum projects.
  • 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_69b3454db3708190aeafd814413c4c3d completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b3521f7d9c81909c9209fe59d20ffd completed March 12, 2026, 11:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5f5ddcbc08190baac9dbe041a66ad completed March 14, 2026, 11:57 p.m.
Created at: March 12, 2026, 11:17 p.m.