Triple

T10324225
Position Surface form Disambiguated ID Type / Status
Subject Jordan E242718 entity
Predicate hasVariant P455 FINISHED
Object Jordin E268385 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: Jordin | Statement: [Jordan, hasVariant, Jordin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jordin
Context triple: [Jordan, hasVariant, Jordin]
  • A. Jordin chosen
    Jordin is the first name of American singer and actress Jordin Sparks, known for winning the sixth season of American Idol.
  • B. Solsidan
    Solsidan is a residential area in Saltsjöbaden, Sweden, known for its affluent seaside villas and as the setting of a popular Swedish TV comedy series of the same name.
  • C. Anhée
    Anhée is a municipality in the province of Namur in Wallonia, Belgium, known for its rural character and location along the Meuse River.
  • D. Nyota
    Nyota is the first name of Nyota Uhura, the pioneering Star Trek communications officer known as one of the earliest prominent Black female characters in American television science fiction.
  • E. Kyela
    Kyela is a town and district in southern Tanzania known for its fertile land, rice production, and location near the northern shores of Lake Nyasa.
  • 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_69d381af787481908bc401325c760a88 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4d6ce683c8190bf5385dd04bf2de8 completed April 7, 2026, 10:05 a.m.
NED1 Entity disambiguation (via context triple) batch_69d71da2053481908fe5ed097b480cdd completed April 9, 2026, 3:31 a.m.
Created at: April 6, 2026, 11:51 a.m.