Triple

T14956511
Position Surface form Disambiguated ID Type / Status
Subject Flint Tropics E372943 entity
Predicate appearsInFilm P795 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: [Flint Tropics, appearsInFilm, Semi-Pro]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Semi-Pro
Context triple: [Flint Tropics, appearsInFilm, 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. Semi-Tough
    Semi-Tough is a 1977 sports comedy film that satirizes professional football and 1970s self-help culture, starring Burt Reynolds, Kris Kristofferson, and Jill Clayburgh.
  • C. The Amateur
    The Amateur is a 1981 espionage thriller film about a CIA cryptographer who seeks personal revenge after his fiancée is killed in a terrorist attack.
  • D. The Amateur
    The Amateur is one of the most prestigious and historic amateur golf championships in the world, organized by The R&A and typically played annually in the United Kingdom.
  • E. the Rookie
    The Rookie is the silent Orbital Drop Shock Trooper player character in Halo 3: ODST, known for navigating a ruined New Mombasa to piece together his squad’s fate.
  • 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_69d85cca979481908747d2a81eba1cea completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69ded6cc73848190ac181782b20dc838 completed April 15, 2026, 12:07 a.m.
NED1 Entity disambiguation (via context triple) batch_69fe9dc2ad1c8190a811bb0c20643309 completed May 9, 2026, 2:36 a.m.
Created at: April 10, 2026, 2:40 a.m.