Triple

T31597068
Position Surface form Disambiguated ID Type / Status
Subject Tsubaki Sawabe E806245 entity
Predicate relationshipTypeWith Kousei Arima P175131 FINISHED
Object childhood friends to potential romantic interest 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: childhood friends to potential romantic interest | Statement: [Tsubaki Sawabe, relationshipTypeWith Kousei Arima, childhood friends to potential romantic interest]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: relationshipTypeWith Kousei Arima
Context triple: [Tsubaki Sawabe, relationshipTypeWith Kousei Arima, childhood friends to potential romantic interest]
  • A. relationshipTypeWithToruWatanabe
    Indicates the specific nature or category of relationship that an entity has with Toru Watanabe.
  • B. relationshipToKosakiOnodera
    Indicates the specific type of personal or social relationship an entity has with Kosaki Onodera.
  • C. inRelationshipWith
    Indicates that two entities are mutually involved in a defined personal, romantic, or partnership relationship with each other.
  • D. haveRelationshipWith chosen
    Indicates that one entity is in some form of defined relationship or association with another entity.
  • E. relationshipToYukina
    Indicates a specified type of personal or social connection that an entity has with Yukina.
  • 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_69f348d54ccc8190a03b5df9a2b40b25 completed April 30, 2026, 12:19 p.m.
NER Named-entity recognition batch_6a037c894b488190bcbec2eccaff4a01 completed May 12, 2026, 7:16 p.m.
PD Predicate disambiguation batch_6a0379e7aa0c8190bdc9ee4d54fc821b completed May 12, 2026, 7:05 p.m.
Created at: April 30, 2026, 10:31 p.m.