Triple

T38539258
Position Surface form Disambiguated ID Type / Status
Subject All Because of You E924783 entity
Predicate associatedWithTelevisionCareerOf P59782 FINISHED
Object Lisa Whelchel E270755 NE 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: Lisa Whelchel | Statement: [All Because of You, associatedWithTelevisionCareerOf, Lisa Whelchel]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: associatedWithTelevisionCareerOf
Context triple: [All Because of You, associatedWithTelevisionCareerOf, Lisa Whelchel]
  • A. roleInTelevisionHistory
    Indicates the role or significance an entity has played in the development, evolution, or notable events of television history.
  • B. televisionWork
    Indicates a relationship where a creative work is produced for, broadcast on, or primarily associated with television.
  • C. partOfCreativeCareerOf chosen
    Indicates that one entity represents a work, role, or activity that forms a component or phase within another entity’s overall creative career.
  • D. alsoKnownFor
    Indicates that an entity is additionally recognized or noted for another work, role, achievement, or characteristic beyond its primary association.
  • E. actorKnownFor
    Indicates that an actor is widely recognized or notable for a particular work, role, or contribution.
  • F. None of above.

Provenance (4 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_69f76eadeac081909cdfdd0474cb6765 completed May 3, 2026, 3:50 p.m.
NER Named-entity recognition batch_6a037c903be48190a2fafa53d7d50d42 completed May 12, 2026, 7:16 p.m.
NED1 Entity disambiguation (via context triple) batch_6a4205afe5608190be177d39f22b233b completed June 29, 2026, 5:42 a.m.
PD Predicate disambiguation batch_6a037a1e32108190897356d6a7fed879 completed May 12, 2026, 7:06 p.m.
Created at: May 3, 2026, 4:32 p.m.