Triple

T16649760
Position Surface form Disambiguated ID Type / Status
Subject Ingrid Bergman’s diaries E404570 entity
Predicate laterAudience P9280 FINISHED
Object biographers 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: biographers | Statement: [Ingrid Bergman’s diaries, laterAudience, biographers]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: laterAudience
Context triple: [Ingrid Bergman’s diaries, laterAudience, biographers]
  • A. laterAttends
    Indicates that one entity attends an event or place at a time later than another referenced attendance.
  • B. secondaryAudience chosen
    Indicates that an entity is a secondary or additional intended audience or target group for another entity (such as a work, message, or product), beyond the primary audience.
  • C. laterPromoter
    Indicates that one promoter occurs or becomes active at a later time than another promoter in a regulatory or temporal sequence.
  • D. attractsAudience
    Indicates that an entity draws the interest or attention of people who choose to watch, listen to, or engage with it.
  • E. associatedMusicAudience
    Indicates a relationship where a piece of music, musical work, or performance is intended for, targeted at, or commonly associated with a particular audience or listener group.
  • 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_69d8838a41f08190b0c3f79c47df5078 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e37ad85ec881909dc6a434a363dab1 completed April 18, 2026, 12:36 p.m.
PD Predicate disambiguation batch_69e319b1d7f08190b5ecb4a68c636c15 completed April 18, 2026, 5:42 a.m.
Created at: April 10, 2026, 5:18 a.m.