Triple

T31221361
Position Surface form Disambiguated ID Type / Status
Subject Naomi Nagata E796016 entity
Predicate crewRelationship P38921 FINISHED
Object close friendship with Amos Burton 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: close friendship with Amos Burton | Statement: [Naomi Nagata, crewRelationship, close friendship with Amos Burton]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: crewRelationship
Context triple: [Naomi Nagata, crewRelationship, close friendship with Amos Burton]
  • A. characterActorRelationship
    Indicates a relationship where an actor portrays or is associated with a specific character in a work.
  • B. playerRelations
    Indicates the nature or status of the relationship between players, such as alliances, rivalries, or other interpersonal dynamics.
  • C. worksInCloseRelationshipWith
    Indicates a collaborative professional relationship in which two or more entities work together closely and interact frequently to achieve shared goals.
  • D. inRelationshipWith
    Indicates that two entities are mutually involved in a defined personal, romantic, or partnership relationship with each other.
  • E. relationshipToCharacter chosen
    Indicates the specific type of personal, social, or narrative connection that one entity has to a given character.
  • 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_69f224da98f88190ab32f690cce5d303 completed April 29, 2026, 3:33 p.m.
NER Named-entity recognition batch_69f69c4d35848190bd5a2dd81851bea3 completed May 3, 2026, 12:52 a.m.
PD Predicate disambiguation batch_69f696673214819094350e1d2648ef34 completed May 3, 2026, 12:27 a.m.
Created at: April 29, 2026, 9:10 p.m.