Triple

T12025605
Position Surface form Disambiguated ID Type / Status
Subject Forrest, New Mexico E286267 entity
Predicate hasName P744 FINISHED
Object Forrest E286267 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: Forrest | Statement: [Forrest, New Mexico, hasName, Forrest]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Forrest
Context triple: [Forrest, New Mexico, hasName, Forrest]
  • A. Forrest
    Forrest "Phog" Allen was a pioneering American college basketball coach, often called the "Father of Basketball Coaching," who led the University of Kansas program for decades and mentored numerous future coaching legends.
  • B. Forrest chosen
    Forrest is a small unincorporated community located in Quay County in eastern New Mexico, United States.
  • C. Forrest
    Forrest is the commonly used short form of the name Forrest Church, an American Unitarian Universalist minister, theologian, and author.
  • D. Forrest
    Forrest is the given first name of American guitarist and songwriter Dickey Betts, a founding member of the Allman Brothers Band.
  • E. Forrest
    Forrest is a masculine given name of English origin, traditionally associated with nature and woodland imagery.
  • 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_69d6ab4669e48190b59246358b0383ab completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d903f02638819091e0cc0e93fa5ea7 completed April 10, 2026, 2:06 p.m.
NED1 Entity disambiguation (via context triple) batch_69f48b71e5c48190a58ace8ef7c8928d completed May 1, 2026, 11:16 a.m.
Created at: April 8, 2026, 9:47 p.m.