Triple

T3313812
Position Surface form Disambiguated ID Type / Status
Subject Oscar Chopin E69633 entity
Predicate name P16 FINISHED
Object Oscar Chopin E69633 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 Chopin | Statement: [Oscar Chopin, name, Oscar Chopin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Oscar Chopin
Context triple: [Oscar Chopin, name, Oscar Chopin]
  • A. Oscar Chopin chosen
    Oscar Chopin was a Louisiana businessman and the husband of American author Kate Chopin, known for supporting her during their years in New Orleans and Cloutierville.
  • B. Satie Gossett
    Satie Gossett is an American filmmaker and the son of Academy Award–winning actor Louis Gossett Jr.
  • C. Hector Malot
    Hector Malot was a 19th-century French novelist best known for his classic children's book "Sans Famille" ("Nobody's Boy").
  • D. Hamlin Garland
    Hamlin Garland was an American author best known for his realistic portrayals of Midwestern farm life and his influential role in the development of regionalist, or local color, fiction.
  • E. John Kennedy Toole
    John Kennedy Toole was an American novelist best known for his posthumously published, Pulitzer Prize–winning comic novel "A Confederacy of Dunces."
  • 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_69ad85a0bb048190a5458d2738012d61 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb0ef548481908b3aabc7052c70d8 completed March 8, 2026, 5:25 p.m.
NED1 Entity disambiguation (via context triple) batch_69b2f3f760348190abd8854c369cb41b completed March 12, 2026, 5:12 p.m.
Created at: March 8, 2026, 3:11 p.m.