Triple

T9510531
Position Surface form Disambiguated ID Type / Status
Subject Oscar Furlong E229379 entity
Predicate name P16 FINISHED
Object Oscar Furlong E229379 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: Oscar Furlong | Statement: [Oscar Furlong, name, Oscar Furlong]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Oscar Furlong
Context triple: [Oscar Furlong, name, Oscar Furlong]
  • A. Oscar Furlong chosen
    Oscar Furlong was an Argentine basketball player renowned as one of the sport’s early international stars, particularly for leading Argentina to prominence in the mid-20th century.
  • B. Joe Dowling
    Joe Dowling is an Irish theatre director best known for his long tenure as artistic director of the Guthrie Theater in Minneapolis.
  • C. William Fagan
    William Fagan is a relatively obscure individual whose name is notably recorded as a bearer of the surname Fagan.
  • D. Errol Taggart
    Errol Taggart was a Canadian-born film editor and director active in early Hollywood, known for his work on several silent and early sound films.
  • E. John Fagan
    John Fagan is a notable individual distinguished enough to be specifically recognized as a prominent bearer of the surname Fagan.
  • 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_69ca84777560819084cddd999badc1aa completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd9868616c8190856f89fecfa1a02e completed April 1, 2026, 10:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69d20cbe7fb88190a945870540d4c973 completed April 5, 2026, 7:18 a.m.
Created at: March 30, 2026, 7:58 p.m.