Triple

T22974489
Position Surface form Disambiguated ID Type / Status
Subject Grandpa Metal E571276 entity
Predicate featuresArtist P1952 FINISHED
Object Michael Starr NE NERFINISHED

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: Michael Starr | Statement: [Grandpa Metal, featuresArtist, Michael Starr]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Michael Starr
Context triple: [Grandpa Metal, featuresArtist, Michael Starr]
  • A. Bryan Bartlett Starr
    Bryan Bartlett Starr was a Hall of Fame American football quarterback and coach best known for leading the Green Bay Packers to multiple NFL championships and victories in the first two Super Bowls.
  • B. Ben Starr
    Ben Starr was an American television and film writer best known for his work on classic sitcoms and comedy scripts in the mid-20th century.
  • C. Michael Christopher Starr chosen
    Michael Christopher Starr was an American musician best known as the original bassist for the rock band Alice in Chains.
  • D. James Stark
    James Stark was a 19th-century English landscape painter associated with the Norwich School, known for his detailed and atmospheric depictions of the English countryside.
  • E. Carl Benton Reid
    Carl Benton Reid was an American character actor known for his work in mid-20th-century film, television, and theater.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e245b2c6548190a0e4c7f2f7df2d48 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f182350b448190a34e5fa0167fd964 completed April 29, 2026, 3:59 a.m.
Created at: April 17, 2026, 3:48 p.m.