Triple

T26385166
Position Surface form Disambiguated ID Type / Status
Subject Harper Stewart E663256 entity
Predicate relationshipStatusAtEndOfTheBestMan P107707 FINISHED
Object engaged to Robyn 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: engaged to Robyn | Statement: [Harper Stewart, relationshipStatusAtEndOfTheBestMan, engaged to Robyn]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: relationshipStatusAtEndOfTheBestMan
Context triple: [Harper Stewart, relationshipStatusAtEndOfTheBestMan, engaged to Robyn]
  • A. relationshipStatusInTheBestMan
    Indicates the type or state of a relationship that exists between two characters within the context of *The Best Man* (e.g., how they are romantically or personally connected in that narrative).
  • B. 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.
  • C. formerRelationshipStatus
    Indicates that a relationship between entities existed in the past but no longer holds in the present.
  • D. weddingStatus
    Indicates the current state or condition of an entity’s marriage or wedding (e.g., single, engaged, married, divorced).
  • E. hasMaritalStatusAtEnd chosen
    Indicates that an entity possesses a specific marital status at the end of a given period, event, or reference time.
  • 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_69ee88374adc81909868f3bab374a32f completed April 26, 2026, 9:48 p.m.
NER Named-entity recognition batch_69fe5c1a502081909d4024e514309c8e completed May 8, 2026, 9:56 p.m.
PD Predicate disambiguation batch_69fe5a9df21c819087153f5d0bcaa987 completed May 8, 2026, 9:50 p.m.
Created at: April 26, 2026, 11:21 p.m.