Triple

T17565282
Position Surface form Disambiguated ID Type / Status
Subject Mims Ufgood E427795 entity
Predicate familyName P18 FINISHED
Object Ufgood NE NERFINISHED

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: Ufgood | Statement: [Mims Ufgood, familyName, Ufgood]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ufgood
Context triple: [Mims Ufgood, familyName, Ufgood]
  • A. Ufgood chosen
    Ufgood is the surname of Willow Ufgood, the central aspiring sorcerer and farmer protagonist from the fantasy film "Willow."
  • B. UFG
    UFG is the commonly used abbreviation for Ulchi Freedom Guardian, a large-scale annual joint military exercise conducted by South Korea and the United States.
  • C. UFG
    UFG is the abbreviated name of Switzerland’s Federal Office of Justice, the federal authority responsible for legal affairs, legislation, and judicial cooperation.
  • D. Goodes
    Goodes is the surname of Adam Goodes, a prominent Australian rules footballer and Indigenous rights advocate.
  • E. UGOFE
    UGOFE was an Argentine railway consortium formed by several private operators to temporarily manage and rehabilitate commuter rail services in the Buenos Aires metropolitan area after the revocation of previous concessions.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d889e0385081908a04b66f4dd4bd0d completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e4592ce42c8190a54a0a328c5e8ffc completed April 19, 2026, 4:25 a.m.
Created at: April 10, 2026, 5:50 a.m.