Triple

T36062716
Position Surface form Disambiguated ID Type / Status
Subject Yugiri E1043130 entity
Predicate hasPossibleBiologicalFather P46317 FINISHED
Object Hikaru Genji 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: Hikaru Genji | Statement: [Yugiri, hasPossibleBiologicalFather, Hikaru Genji]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasPossibleBiologicalFather
Context triple: [Yugiri, hasPossibleBiologicalFather, Hikaru Genji]
  • A. hasPossibleFather chosen
    Indicates a relationship where a given individual may be the father of another, but this parentage is not confirmed.
  • B. geneticFatherOf
    Indicates that one individual is the biological male parent (father) of another individual.
  • C. hasUncertainParentage
    Indicates that the parent or parents of an entity are unknown, disputed, or not reliably established.
  • D. hasUncertainOffspring
    Indicates that an entity is associated with offspring whose existence, identity, or parentage is not fully certain or confirmed.
  • E. possibleFatherInLaw
    Indicates that one person is a potential or candidate father-in-law of another, typically as the (possible) father of that person’s spouse or prospective spouse.
  • 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_69f76e2f09448190b0486d5ecad5e243 completed May 3, 2026, 3:47 p.m.
NER Named-entity recognition batch_69ff779e3f0c8190a861f1e4000fd9d9 completed May 9, 2026, 6:06 p.m.
PD Predicate disambiguation batch_69ff77202638819086e4b9f9c0bc7b31 completed May 9, 2026, 6:04 p.m.
Created at: May 3, 2026, 4:08 p.m.