Triple

T14385039
Position Surface form Disambiguated ID Type / Status
Subject Brian Piccolo E356701 entity
Predicate familyName P18 FINISHED
Object Piccolo E571321 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: Piccolo | Statement: [Brian Piccolo, familyName, Piccolo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Piccolo
Context triple: [Brian Piccolo, familyName, Piccolo]
  • A. Joy Piccolo chosen
    Joy Piccolo is the wife of Chicago Bears running back Brian Piccolo, portrayed in the 2001 film "Brian's Song" as a central figure providing emotional support during his battle with cancer.
  • B. Okame
    Okame was a historical figure known primarily as the child of the famed Japanese tea master Sen no Rikyū.
  • C. Miiko Taka
    Miiko Taka was a Japanese-American actress best known for her breakthrough role opposite Marlon Brando in the 1957 film "Sayonara."
  • D. Kai Kecil
    Kai Kecil is one of the main islands of the Kai archipelago in Indonesia, known for its white-sand beaches, clear turquoise waters, and traditional Maluku culture.
  • E. Oni Gozen
    Oni Gozen is a semi-legendary Japanese noblewoman best known as the mother of the famed Sengoku-period warlord Takeda Shingen.
  • 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_69d827927c988190ad98bb0360981783 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de9025cff881908c08224d90d9f750 completed April 14, 2026, 7:06 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd5513e8888190bc6b6cb33fd9b670 completed May 8, 2026, 3:14 a.m.
Created at: April 10, 2026, 1:16 a.m.