Triple

T360201
Position Surface form Disambiguated ID Type / Status
Subject Charles Curtis E7833 entity
Predicate hasNickname P39 FINISHED
Object Indian Charley E7833 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: Indian Charley | Statement: [Charles Curtis, hasNickname, Indian Charley]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Indian Charley
Context triple: [Charles Curtis, hasNickname, Indian Charley]
  • A. Indian Charley chosen
    Indian Charley was a nickname for Charles Curtis, the Native American–heritage politician who served as the 31st vice president of the United States under Herbert Hoover.
  • B. Pacho
    Pacho is a town and municipality in the Cundinamarca Department of central Colombia, known historically for its agricultural production and scenic Andean surroundings.
  • C. Chuch’e
    Chuch’e is an alternative spelling of Juche, the North Korean state ideology centered on political self-reliance and national independence.
  • D. Al Chet
    Al Chet is a traditional Jewish confessional prayer recited on Yom Kippur that enumerates communal sins and seeks divine forgiveness.
  • E. Lick
    Lick is the nickname of Joseph Carl Robnett Licklider, a pioneering American computer scientist whose ideas helped lay the foundations for interactive computing and the internet.
  • 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_69a2e7e880008190a6ad7e06e5d03007 completed Feb. 28, 2026, 1:04 p.m.
NER Named-entity recognition batch_69a2ebccb8d88190a31f7c443a0c8566 completed Feb. 28, 2026, 1:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69a3e578c1788190877cf6a346cf10d4 completed March 1, 2026, 7:06 a.m.
Created at: Feb. 28, 2026, 1:08 p.m.