Triple

T13022972
Position Surface form Disambiguated ID Type / Status
Subject Lori Nichol E326222 entity
Predicate hasClient P734 FINISHED
Object Midori Ito E197961 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: Midori Ito | Statement: [Lori Nichol, hasClient, Midori Ito]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Midori Ito
Context triple: [Lori Nichol, hasClient, Midori Ito]
  • A. Midori Ito chosen
    Midori Ito is a pioneering Japanese figure skater renowned as the first woman to land a triple Axel in competition and a silver medalist at the 1992 Winter Olympics.
  • B. Keiko Miura
    Keiko Miura is a character in the MonsterVerse franchise who works as a specialist for the secretive scientific organization Monarch, which studies and monitors giant monsters known as Titans.
  • C. Mitsumi Shimizu
    Mitsumi Shimizu was a Japanese naval officer who served as a prominent submarine commander in the Imperial Japanese Navy during World War II.
  • D. Shinobu Ohno
    Shinobu Ohno is a Japanese former professional footballer and attacking midfielder who was a key member of Japan’s women’s national team, including their 2011 FIFA Women’s World Cup–winning side.
  • E. Yuko Shimizu
    Yuko Shimizu is a Japanese illustrator and comic artist renowned for her distinctive, dynamic style and contributions to major publications, book covers, and graphic novels.
  • 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_69d8076cc45c81908123123f43e69266 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69d97ed05e9c8190a4f208662bca0602 completed April 10, 2026, 10:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7265d09d881909c21423d93af39cd completed May 3, 2026, 10:41 a.m.
Created at: April 9, 2026, 8:52 p.m.