Triple

T14189565
Position Surface form Disambiguated ID Type / Status
Subject Michael J. Pollard E351675 entity
Predicate name P16 FINISHED
Object Michael J. Pollard E351675 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: Michael J. Pollard | Statement: [Michael J. Pollard, name, Michael J. Pollard]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Michael J. Pollard
Context triple: [Michael J. Pollard, name, Michael J. Pollard]
  • A. Michael J. Pollard chosen
    Michael J. Pollard was an American character actor best known for his Oscar-nominated role as C.W. Moss in the 1967 film "Bonnie and Clyde."
  • B. Jim Pollard
    Jim Pollard was an American professional basketball forward, best known as a Hall of Famer and key early star of the Minneapolis Lakers dynasty.
  • C. Jeffrey Paley
    Jeffrey Paley is the son of longtime CBS chairman William S. Paley and a member of the prominent Paley media family.
  • D. Michael Potts
    Michael Potts is an American actor known for his work in film, television, and theater, including notable roles in projects like "The Wire," "True Detective," and various Broadway productions.
  • E. Michael Pollack
    Michael Pollack is a writer best known for his work on the television series "Daisies."
  • 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_69d827894ac0819097803e57f3227b23 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de61df628c8190ba3f557e2128dce5 completed April 14, 2026, 3:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd194543f081909cb11cf0881afa90 completed May 7, 2026, 10:59 p.m.
Created at: April 10, 2026, 1:03 a.m.