Triple

T38464775
Position Surface form Disambiguated ID Type / Status
Subject Miguel O'Hara E912534 entity
Predicate romanticPartners P181372 FINISHED
Object Xina Kwan 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: Xina Kwan | Statement: [Miguel O'Hara, romanticPartners, Xina Kwan]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: romanticPartners
Context triple: [Miguel O'Hara, romanticPartners, Xina Kwan]
  • A. romanticOrSexualPartners chosen
    Indicates that the entities have been, are, or are intended to be involved as romantic and/or sexual partners with each other.
  • B. romanticPartnerLifestyle
    Indicates a romantic partner’s typical way of living, including their habits, values, and day-to-day choices within the relationship context.
  • C. romanticPartnerInSeries
    Indicates that one character is portrayed as a romantic partner of another character within the context of a specific series or narrative.
  • D. formerRomanticInterest
    Indicates that one entity previously had a romantic relationship or attraction toward another entity, but that romantic connection has since ended.
  • E. romanticRelationshipStatus
    Indicates the nature or state of a romantic relationship between entities, such as whether they are dating, committed, separated, or otherwise romantically involved.
  • 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_69f76e861d8c81908559031dc66e3c15 completed May 3, 2026, 3:49 p.m.
NER Named-entity recognition batch_69fcdaa36f90819093f8661969990c7d completed May 7, 2026, 6:32 p.m.
PD Predicate disambiguation batch_69fcd8fefc588190b063d7ea1ec87b07 completed May 7, 2026, 6:25 p.m.
Created at: May 3, 2026, 4:31 p.m.