Triple

T14121397
Position Surface form Disambiguated ID Type / Status
Subject Cobra Bubbles E339912 entity
Predicate relationshipToNani P38921 FINISHED
Object evaluates her fitness as Lilo’s guardian LITERAL 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: evaluates her fitness as Lilo’s guardian | Statement: [Cobra Bubbles, relationshipToNani, evaluates her fitness as Lilo’s guardian]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: relationshipToNani
Context triple: [Cobra Bubbles, relationshipToNani, evaluates her fitness as Lilo’s guardian]
  • A. relationshipToRelative
    Indicates the specific familial connection or kinship role that one person has in relation to a particular relative.
  • B. relationshipToHumans
    Indicates the nature or type of connection, association, or relevance that something has specifically with humans.
  • C. relationshipToCharacter chosen
    Indicates the specific type of personal, social, or narrative connection that one entity has to a given character.
  • D. basisOfRelationship
    Indicates that one entity serves as the foundational reason, cause, or justification for the relationship that exists between two or more entities.
  • E. inRelationshipWith
    Indicates that two entities are mutually involved in a defined personal, romantic, or partnership relationship with each other.
  • 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_69d81c6a95b481909e39111e0c1f31ee completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de60942a588190beff0058a92f7051 completed April 14, 2026, 3:43 p.m.
PD Predicate disambiguation batch_69de05b5e7a08190a16be9ad8b92b80c completed April 14, 2026, 9:15 a.m.
Created at: April 9, 2026, 10:22 p.m.