Triple

T5141311
Position Surface form Disambiguated ID Type / Status
Subject Judy and I: My Life with Judy Garland E115958 entity
Predicate relationshipDocumented P21096 FINISHED
Object marriage of Sid Luft and Judy Garland 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: marriage of Sid Luft and Judy Garland | Statement: [Judy and I: My Life with Judy Garland, relationshipDocumented, marriage of Sid Luft and Judy Garland]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: relationshipDocumented
Context triple: [Judy and I: My Life with Judy Garland, relationshipDocumented, marriage of Sid Luft and Judy Garland]
  • A. marriageDocumentedIn chosen
    Indicates that a marriage event is recorded or evidenced in a specific document or source.
  • B. relationshipManaged
    Indicates that one entity oversees, directs, or maintains responsibility for the ongoing management of a relationship involving another entity.
  • C. inRelationshipWith
    Indicates that two entities are mutually involved in a defined personal, romantic, or partnership relationship with each other.
  • D. reportsRelationship
    Indicates that one entity formally provides information, findings, or status about another entity or situation.
  • E. relationshipType
    Indicates the specific kind of relationship that exists between two or more entities.
  • 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_69bd44459a988190a772a5c2ec6a1965 completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd78d7f4d081908d59adcd86f52f1d completed March 20, 2026, 4:42 p.m.
PD Predicate disambiguation batch_69bd77ae2f10819098bb8939106e1281 completed March 20, 2026, 4:37 p.m.
Created at: March 20, 2026, 1:43 p.m.