Triple

T13828990
Position Surface form Disambiguated ID Type / Status
Subject Nigo E332333 entity
Predicate name P16 FINISHED
Object Nigo E332333 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: Nigo | Statement: [Nigo, name, Nigo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nigo
Context triple: [Nigo, name, Nigo]
  • A. Nigo chosen
    Nigo is a Japanese fashion designer, DJ, and record producer best known as the founder of the streetwear brand A Bathing Ape (BAPE) and for his influential role in bridging hip-hop culture and fashion.
  • B. Kayo Washio
    Kayo Washio is a Japanese television and film producer best known for her executive production work on the crime drama series "Tokyo Vice."
  • C. Gesaffelstein
    Gesaffelstein is a French electronic music producer and DJ known for his dark, industrial techno sound and collaborations with major artists like Kanye West.
  • D. Isamu
    Isamu is a Japanese given name commonly used for males, often associated with meanings related to courage or bravery.
  • E. Ninzam
    Ninzam is a Plateau language of central Nigeria, spoken by a small ethnic community and known for its place within the Benue–Congo branch of the Niger-Congo language family.
  • 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_69d81c5ae7c88190b0dd41bdafeb5999 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de02970df88190a1bf35dffd131d9d completed April 14, 2026, 9:02 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7b8ea22c081909cc34f1030a8589b completed May 3, 2026, 9:06 p.m.
Created at: April 9, 2026, 10:13 p.m.