Triple

T9754037
Position Surface form Disambiguated ID Type / Status
Subject Mater E236509 entity
Predicate friend P8712 FINISHED
Object Fillmore E720460 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: Fillmore | Statement: [Mater, friend, Fillmore]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fillmore
Context triple: [Mater, friend, Fillmore]
  • A. Fillmore
    Fillmore is a small agricultural city in Ventura County, California, known for its historic downtown and citrus and avocado groves.
  • B. Fillmore
    Fillmore is a small city in central Utah that briefly served as the territorial capital in the mid-19th century and is now a local agricultural and service hub.
  • C. Fillmore chosen
    Fillmore is a laid-back, hippie Volkswagen bus character from Pixar's Cars franchise known for his love of organic fuel and groovy lifestyle.
  • D. Millard Powers Fillmore
    Millard Powers Fillmore was the son of U.S. President Millard Fillmore, known primarily for his role as his father's private secretary and for managing the family estate.
  • E. James McGill Buchanan Jr.
    James McGill Buchanan Jr. was an American economist and Nobel laureate best known for developing public choice theory, which applies economic principles to political decision-making.
  • 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_69ca84d4eddc8190996fec1417d2bae8 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cd9fb01ad08190b2435fa505c622bc completed April 1, 2026, 10:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1b0288b808190821287a2cc54025d completed April 5, 2026, 12:43 a.m.
Created at: March 30, 2026, 8:24 p.m.