Triple

T3536284
Position Surface form Disambiguated ID Type / Status
Subject Jennifer Aniston as Dr. Julia Harris E74779 entity
Predicate associatedWithActorCareer P46749 FINISHED
Object JenniferAnistonFilmography 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: JenniferAnistonFilmography | Statement: [Jennifer Aniston as Dr. Julia Harris, associatedWithActorCareer, JenniferAnistonFilmography]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: associatedWithActorCareer
Context triple: [Jennifer Aniston as Dr. Julia Harris, associatedWithActorCareer, JenniferAnistonFilmography]
  • A. followedByRoleInCareerOf
    Indicates that one role or position directly succeeds another in the sequence of roles within a single entity’s career.
  • B. associatedWithPerformer chosen
    Indicates a relationship in which something (such as a work, event, or role) is connected or linked to a specific performer.
  • C. starredActor
    Indicates that an actor performed a leading or significant role in a particular production or work.
  • D. alsoKnownFor
    Indicates that an entity is additionally recognized or noted for another work, role, achievement, or characteristic beyond its primary association.
  • E. associatedWithScreenwriter
    Indicates a relationship in which an entity is connected or linked to a screenwriter, typically through collaboration, authorship, or professional involvement in a screenwriting context.
  • 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_69ad85d1a3948190931fd1ea1f49717b completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adbcc7b92481908d2d99948780f4d0 completed March 8, 2026, 6:15 p.m.
PD Predicate disambiguation batch_69adae13ab808190a5d6ecdc7543445e completed March 8, 2026, 5:12 p.m.
Created at: March 8, 2026, 3:20 p.m.