Triple

T33199302
Position Surface form Disambiguated ID Type / Status
Subject Florence Vassy E849855 entity
Predicate formerRomanticRelationship P162062 FINISHED
Object Frederick Trumper 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: Frederick Trumper | Statement: [Florence Vassy, formerRomanticRelationship, Frederick Trumper]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: formerRomanticRelationship
Context triple: [Florence Vassy, formerRomanticRelationship, Frederick Trumper]
  • A. formerRomanticInterest chosen
    Indicates that one entity previously had a romantic relationship or attraction toward another entity, but that romantic connection has since ended.
  • B. formerRelationshipStatus
    Indicates that a relationship between entities existed in the past but no longer holds in the present.
  • C. romanticRelationshipStatus
    Indicates the nature or state of a romantic relationship between entities, such as whether they are dating, committed, separated, or otherwise romantically involved.
  • D. romanticOrSexualPartners
    Indicates that the entities have been, are, or are intended to be involved as romantic and/or sexual partners with each other.
  • E. formerFriend
    Indicates that two entities were once friends but are no longer in a friendship relationship.
  • 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_69f3495efedc8190843a5728089544b9 completed April 30, 2026, 12:21 p.m.
NER Named-entity recognition batch_69ffb1218cb08190a814c7f0833501a7 completed May 9, 2026, 10:11 p.m.
PD Predicate disambiguation batch_69ffb083d6988190b2757e0cfd629b75 completed May 9, 2026, 10:09 p.m.
Created at: May 1, 2026, 1:29 a.m.