Triple

T6189196
Position Surface form Disambiguated ID Type / Status
Subject Shane Hurlbut E138142 entity
Predicate notableWork P4 FINISHED
Object Semi-Pro E76736 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: Semi-Pro | Statement: [Shane Hurlbut, notableWork, Semi-Pro]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Semi-Pro
Context triple: [Shane Hurlbut, notableWork, Semi-Pro]
  • A. Semi-Pro chosen
    Semi-Pro is a 2008 sports comedy film starring Will Ferrell as the owner-coach-player of a struggling 1970s ABA basketball team.
  • B. The Rookie
    The Rookie is a 2002 sports drama film based on the true story of high school teacher and former pitcher Jim Morris, who makes an unexpected late-in-life debut in Major League Baseball.
  • C. ProA
    ProA is the second-highest professional basketball league in Germany, sitting just below the Basketball Bundesliga in the national league system.
  • D. The Playmaker
    The Playmaker is the nickname of Michael Irvin, the Hall of Fame wide receiver who starred for the Dallas Cowboys during their 1990s Super Bowl dynasty.
  • E. Major League
    Major League is a 1989 sports comedy film about a ragtag Cleveland Indians baseball team that unexpectedly becomes competitive despite its owner's attempts to make it fail.
  • 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_69c008a8fd408190b7ec6e42934974a6 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c062192c5481909eb41f8c5d1208a3 completed March 22, 2026, 9:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69c16f06c770819087e055cfe6c8b134 completed March 23, 2026, 4:49 p.m.
Created at: March 22, 2026, 4:19 p.m.