Triple

T3143309
Position Surface form Disambiguated ID Type / Status
Subject Zeke E65703 entity
Predicate relationshipStatusArc P39999 FINISHED
Object transition from casual dating to serious commitment 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: transition from casual dating to serious commitment | Statement: [Zeke, relationshipStatusArc, transition from casual dating to serious commitment]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: relationshipStatusArc
Context triple: [Zeke, relationshipStatusArc, transition from casual dating to serious commitment]
  • A. relationshipStatusDuringFilm
    Indicates the type or state of a relationship between entities specifically during the time period in which a film takes place or is produced.
  • B. relationshipType
    Indicates the specific kind of relationship that exists between two or more entities.
  • C. relationshipDynamic chosen
    Indicates a changing or evolving pattern of interaction between entities, such as shifts in their roles, closeness, or influence over time.
  • D. relationshipManaged
    Indicates that one entity oversees, directs, or maintains responsibility for the ongoing management of a relationship involving another entity.
  • E. relationshipPlannedWith
    Indicates that a relationship between two entities has been intentionally arranged or scheduled to occur in the future.
  • 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_69ad8582f564819088c27e1f96153938 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada59489a88190b0962cef091f4ddb completed March 8, 2026, 4:36 p.m.
PD Predicate disambiguation batch_69ad9dfa3d9081908425aa636bb9b897 completed March 8, 2026, 4:04 p.m.
Created at: March 8, 2026, 3:05 p.m.