Triple

T12244672
Position Surface form Disambiguated ID Type / Status
Subject Genesis Invitational E291820 entity
Predicate associatedWith P37 FINISHED
Object TGR Live E455707 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: TGR Live | Statement: [Genesis Invitational, associatedWith, TGR Live]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: TGR Live
Context triple: [Genesis Invitational, associatedWith, TGR Live]
  • A. TGR
    TGR is the acronym for Chile’s Tesorería General de la República, the public institution responsible for managing and safeguarding the central government’s financial resources and tax revenues.
  • B. TGR Foundation chosen
    TGR Foundation is a charitable organization focused on providing educational opportunities and support to underserved youth, established by professional golfer Tiger Woods.
  • C. TGS
    TGS is the central administrative and academic unit overseeing graduate education and research programs at Northwestern University.
  • D. TGS
    TGS is the fictional sketch comedy show within the television series "30 Rock," serving as the workplace backdrop for the main characters.
  • E. Big Ticket Television
    Big Ticket Television is an American television production company known for producing popular sitcoms and syndicated series in the 1990s and 2000s.
  • 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_69d6ab67950c8190be08450a06228c4b completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d91cb724448190be29fc1d2b946ab7 completed April 10, 2026, 3:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69f60ab7b9308190b621b71d75aa10cc completed May 2, 2026, 2:31 p.m.
Created at: April 8, 2026, 9:51 p.m.