Triple

T14706731
Position Surface form Disambiguated ID Type / Status
Subject The Armageddon Rag E345446 entity
Predicate influencedAuthorCareerDecision P11376 FINISHED
Object shift from novels to television writing in the 1980s 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: shift from novels to television writing in the 1980s | Statement: [The Armageddon Rag, influencedAuthorCareerDecision, shift from novels to television writing in the 1980s]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: influencedAuthorCareerDecision
Context triple: [The Armageddon Rag, influencedAuthorCareerDecision, shift from novels to television writing in the 1980s]
  • A. impactOnAuthor
    Indicates that one entity has an effect, influence, or consequence on the author.
  • B. careerImpact chosen
    Indicates how one entity influences or changes another entity’s professional trajectory, opportunities, or outcomes.
  • C. basedOnCareerOf
    Indicates that something (such as a work, character, or storyline) is derived from, inspired by, or modeled on the career or professional life of a particular person.
  • D. managedCareerOf
    Indicates that one entity was responsible for overseeing, directing, or handling the professional career of another entity.
  • E. influencedPerson
    Indicates that one entity has affected, shaped, or guided the thoughts, behavior, or development of another person.
  • 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_69d822e4a8c08190a155df736bb7bc13 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb6086c608190a66c64e23a3e002f completed April 14, 2026, 9:47 p.m.
PD Predicate disambiguation batch_69de657c57ec8190ae0b9bb79a514566 completed April 14, 2026, 4:04 p.m.
Created at: April 10, 2026, 1:28 a.m.