Triple

T11252134
Position Surface form Disambiguated ID Type / Status
Subject Juli Kidman E266343 entity
Predicate worksWith P398 FINISHED
Object Joseph Oda E914389 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: Joseph Oda | Statement: [Juli Kidman, worksWith, Joseph Oda]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Joseph Oda
Context triple: [Juli Kidman, worksWith, Joseph Oda]
  • A. Joseph Oda chosen
    Joseph Oda is a skilled detective and loyal partner to protagonist Sebastian Castellanos in the survival horror video game series The Evil Within.
  • B. Eiichiro Oda
    Eiichiro Oda is a Japanese manga artist best known as the creator of the globally popular pirate adventure series "One Piece."
  • C. Mikio Oda
    Mikio Oda was a Japanese track and field athlete best known as the first Japanese Olympic gold medalist, winning the triple jump at the 1928 Summer Olympics.
  • D. Teruyuki Toriyama
    Teruyuki Toriyama is a Japanese video game producer best known for his work at Sony Interactive Entertainment on acclaimed titles such as Bloodborne and other FromSoftware collaborations.
  • E. Kazuo Igarashi
    Kazuo Igarashi is a Japanese individual notable enough to be specifically distinguished from others sharing the given name Kazuo.
  • 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_69d6aac7953c8190b82caf9d7640fdf9 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e933648481909873094bc89ed041 completed April 9, 2026, 6 p.m.
NED1 Entity disambiguation (via context triple) batch_69e4f40019588190864c59e8451e80bd completed April 19, 2026, 3:25 p.m.
Created at: April 8, 2026, 9:31 p.m.