Triple

T14397774
Position Surface form Disambiguated ID Type / Status
Subject The Big Green E356993 entity
Predicate hasCastMember P2308 FINISHED
Object M.C. Gainey E1080656 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: M.C. Gainey | Statement: [The Big Green, hasCastMember, M.C. Gainey]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: M.C. Gainey
Context triple: [The Big Green, hasCastMember, M.C. Gainey]
  • A. M.C. Gainey chosen
    M.C. Gainey is an American character actor known for his rugged appearance and frequent roles as villains or tough authority figures in film and television.
  • B. Corey Gaines
    Corey Gaines is an American basketball coach and former player best known for leading the WNBA’s Phoenix Mercury to a championship as head coach.
  • C. Matt Gourley
    Matt Gourley is an American comedian, actor, and podcaster known for his character work, improv, and co-hosting popular comedy podcasts.
  • D. Errick McCollum
    Errick McCollum is an American professional basketball player known for his high scoring ability in international leagues and as the older brother of NBA guard CJ McCollum.
  • E. Kevin McCollum
    Kevin McCollum is a prominent American theatrical producer known for backing numerous hit Broadway musicals, including Tony Award–winning shows.
  • 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_69d827927c988190ad98bb0360981783 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de90826f908190b3969af9b7cf922f completed April 14, 2026, 7:07 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd551cbdb08190a9ea53e607f2555b completed May 8, 2026, 3:14 a.m.
Created at: April 10, 2026, 1:17 a.m.