Triple

T6499502
Position Surface form Disambiguated ID Type / Status
Subject Gene Steratore E148847 entity
Predicate name P16 FINISHED
Object Gene Steratore E148847 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: Gene Steratore | Statement: [Gene Steratore, name, Gene Steratore]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gene Steratore
Context triple: [Gene Steratore, name, Gene Steratore]
  • A. Gene Steratore chosen
    Gene Steratore is a former NFL and NCAA football official best known as a longtime NFL referee and later rules analyst for CBS Sports.
  • B. Greg Maffei
    Greg Maffei is an American business executive best known as the longtime president and CEO of Liberty Media, overseeing its diverse portfolio of media, communications, and entertainment assets.
  • C. Philip D’Antoni
    Philip D’Antoni was an American film and television producer best known for gritty, realistic crime dramas such as "The French Connection" and "The Seven-Ups."
  • D. Ross LaManna
    Ross LaManna is an American screenwriter best known for originating and writing the story that launched the action-comedy "Rush Hour" film franchise.
  • E. John DeLuca
    John DeLuca is an American film producer and longtime collaborator of director Rob Marshall, known for working on major movie musicals and adaptations.
  • 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_69c687e9ad288190bae5bcac9c8ac855 completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c68ad1c46c819089db43e7c3a8d160 completed March 27, 2026, 1:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69c70adfd6e48190badc31135f9b69a3 completed March 27, 2026, 10:55 p.m.
Created at: March 27, 2026, 1:42 p.m.