Triple

T32641303
Position Surface form Disambiguated ID Type / Status
Subject Zatoichi E834484 entity
Predicate crossOverWith P51996 FINISHED
Object Yojimbo franchise NE NERFINISHED

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: Yojimbo franchise | Statement: [Zatoichi, crossOverWith, Yojimbo franchise]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: crossOverWith
Context triple: [Zatoichi, crossOverWith, Yojimbo franchise]
  • A. crossesOverWith chosen
    Indicates that one entity intersects or overlaps with another, typically by passing across or through its path, boundary, or extent.
  • B. crossWith
    Indicates that one entity intersects or passes over/through the path, boundary, or position of another entity.
  • C. crossedWith
    Indicates that one entity has moved from one side of another entity or boundary to the opposite side, typically by passing over or through it.
  • D. crossedBy
    Indicates that one entity (typically a path, line, or boundary) is intersected or traversed by another entity.
  • E. crossingOf
    Indicates that one entity serves as the intersection or crossing point of two or more linear features, such as roads, paths, or tracks.
  • F. None of above.

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_69f3492e773c81908afc10651e46cad3 completed April 30, 2026, 12:21 p.m.
NER Named-entity recognition batch_69f791cc969c8190bf187d6031a030d5 completed May 3, 2026, 6:19 p.m.
PD Predicate disambiguation batch_69f791033d288190b118029fe412b9c9 completed May 3, 2026, 6:16 p.m.
Created at: May 1, 2026, 1:07 a.m.