Triple

T21560289
Position Surface form Disambiguated ID Type / Status
Subject Ronnie Fish E531996 entity
Predicate hasRomanticMisadventures P144244 FINISHED
Object true 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: true | Statement: [Ronnie Fish, hasRomanticMisadventures, true]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasRomanticMisadventures
Context triple: [Ronnie Fish, hasRomanticMisadventures, true]
  • A. romanticMisunderstandingsWith
    Indicates a situation where two entities experience confusion, misinterpretation, or mistaken beliefs about each other’s romantic feelings, intentions, or relationship status.
  • B. romanticSubplotCentral
    Indicates that a romantic subplot is a primary, driving element of the narrative rather than a minor or peripheral thread.
  • C. canRomanceMultipleCharacters
    Indicates that an entity is able to pursue romantic relationships with more than one character.
  • D. romanceObstructedBy
    Indicates that a romantic relationship or potential romance is being hindered, blocked, or prevented by some opposing factor or circumstance.
  • E. romanticOutcome
    Indicates that a romantic relationship or interaction between entities results in a particular outcome, such as success, failure, or change in status.
  • F. None of above. chosen

Provenance (4 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_69e0c460232c81908de2c3819d17c00e completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69eed2e2db2c81908b965312c50d4354 completed April 27, 2026, 3:07 a.m.
PD Predicate disambiguation batch_69e6320c8c2c81908bf031447d66a052 completed April 20, 2026, 2:02 p.m.
PDg Predicate description generation batch_69e633bf34c481909925d8dc1a633a65 completed April 20, 2026, 2:10 p.m.
Created at: April 16, 2026, 6:29 p.m.