Triple

T8153786
Position Surface form Disambiguated ID Type / Status
Subject Carrie E190392 entity
Predicate relationshipTypeWithCharles P38921 FINISHED
Object on-again, off-again romance 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: on-again, off-again romance | Statement: [Carrie, relationshipTypeWithCharles, on-again, off-again romance]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: relationshipTypeWithCharles
Context triple: [Carrie, relationshipTypeWithCharles, on-again, off-again romance]
  • A. historicalRelationship
    Indicates a relationship that existed between entities in the past, often tied to a specific historical period, context, or event.
  • B. relationshipToCharacter chosen
    Indicates the specific type of personal, social, or narrative connection that one entity has to a given character.
  • C. relationshipToCatherine
    Indicates the specific familial, social, or interpersonal connection that one entity has to the person named Catherine.
  • D. hasPoliticalRelationshipWith
    Indicates a political connection or association between two entities, such as alliances, rivalries, collaborations, or other forms of political interaction.
  • E. relationshipTypeWithBertieWooster
    Indicates the specific nature or category of relationship an entity has with Bertie Wooster.
  • 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_69ca82bfeb6481909d07b91b5cf69f59 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb44d566b08190a6bb672f9c368806 completed March 31, 2026, 3:51 a.m.
PD Predicate disambiguation batch_69cb36a0847c8190af9038aef78319b3 completed March 31, 2026, 2:51 a.m.
Created at: March 30, 2026, 5:37 p.m.