Triple

T9741598
Position Surface form Disambiguated ID Type / Status
Subject Avenue 5 E236197 entity
Predicate hasCastMember P2308 FINISHED
Object Suzy Nakamura E828162 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: Suzy Nakamura | Statement: [Avenue 5, hasCastMember, Suzy Nakamura]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Suzy Nakamura
Context triple: [Avenue 5, hasCastMember, Suzy Nakamura]
  • A. Suzy Nakamura chosen
    Suzy Nakamura is an American actress and comedian known for her work in television sitcoms and comedic roles.
  • B. Mari Okada
    Mari Okada is a renowned Japanese screenwriter and director best known for her emotionally charged anime works such as "Anohana: The Flower We Saw That Day" and "Maquia: When the Promised Flower Blooms."
  • C. Lisa Matsuda
    Lisa Matsuda is a neuroscientist best known for identifying and characterizing the CB1 cannabinoid receptor, a key component of the endocannabinoid system in the brain.
  • D. Susan Oyama
    Susan Oyama is an American philosopher and cognitive scientist best known for her work in developmental systems theory and critiques of genetic determinism.
  • E. Airi Suzuki
    Airi Suzuki is a Japanese pop singer, actress, and former member of the idol groups °C-ute and Buono! under Hello! Project.
  • 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_69ca84d3e24481908a476e2231123cf9 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cd9f2af3e48190b83a442cd0e84062 completed April 1, 2026, 10:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69d36947145c8190a0137efdad0bca91 completed April 6, 2026, 8:05 a.m.
Created at: March 30, 2026, 8:23 p.m.