Triple

T11605659
Position Surface form Disambiguated ID Type / Status
Subject Chris Adams E275251 entity
Predicate hires P59576 FINISHED
Object Chico E252852 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: Chico | Statement: [Chris Adams, hires, Chico]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chico
Context triple: [Chris Adams, hires, Chico]
  • A. Chico
    Chico is a mid-sized city in Northern California known for California State University, Chico, and its large urban park, Bidwell Park.
  • B. Chico chosen
    Chico is the impulsive young gunfighter who joins the group of hired protectors in the classic Western film "The Magnificent Seven" (1960).
  • C. Blythe
    Blythe is a small desert city in Southern California near the Arizona border, known as a stopover along Interstate 10 by the Colorado River.
  • D. Salinas
    Salinas is a coastal municipality in southern Puerto Rico known for its fishing industry, scenic Caribbean shoreline, and role as a regional transportation hub.
  • E. Salinas
    Salinas is a prominent agricultural city in Northern California, often called the "Salad Bowl of the World" and known as the birthplace of author John Steinbeck.
  • 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_69d6aaf84b548190ac072e4fb89ae18f completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d895502e0081909ee9c3d45d26cd91 completed April 10, 2026, 6:14 a.m.
NED1 Entity disambiguation (via context triple) batch_69ee871c3dbc8190922d125a04a9ee98 completed April 26, 2026, 9:43 p.m.
Created at: April 8, 2026, 9:38 p.m.