Triple

T8091130
Position Surface form Disambiguated ID Type / Status
Subject Triple Frontier E188863 entity
Predicate producer P490 FINISHED
Object Alex Gartner E188863 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: Alex Gartner | Statement: [Triple Frontier, producer, Alex Gartner]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Alex Gartner
Context triple: [Triple Frontier, producer, Alex Gartner]
  • A. Alex Gartner chosen
    Alex Gartner is a film producer known for his work on major Hollywood projects, including the action thriller "Triple Frontier."
  • B. Michael Alfred Gartner
    Michael Alfred Gartner is a Canadian former professional ice hockey right winger and Hockey Hall of Famer known for his exceptional speed and goal-scoring consistency in the NHL.
  • C. Mark Gardner
    Mark Gardner is a name shared by several notable individuals, including a former Major League Baseball pitcher and a professional ice hockey coach.
  • D. Tom Gonser
    Tom Gonser is an American entrepreneur best known as the founder of DocuSign, a leading electronic signature and digital transaction management company.
  • E. Scott Heiferman
    Scott Heiferman is an American entrepreneur best known for co-founding the social networking platform Meetup, which helps people organize and attend local in-person events.
  • 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_69ca82b7b3e88190b9041ab0ef28b3cb completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb421fb8348190b6495394d498d3f4 completed March 31, 2026, 3:40 a.m.
NED1 Entity disambiguation (via context triple) batch_69cc640dbab881908a8142ac472f3408 completed April 1, 2026, 12:17 a.m.
Created at: March 30, 2026, 5:29 p.m.