Triple

T37159797
Position Surface form Disambiguated ID Type / Status
Subject Holloway Harris Productions E920615 entity
Predicate hasFictionalFounderBackground P34789 FINISHED
Object former advertising executive 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: former advertising executive | Statement: [Holloway Harris Productions, hasFictionalFounderBackground, former advertising executive]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasFictionalFounderBackground
Context triple: [Holloway Harris Productions, hasFictionalFounderBackground, former advertising executive]
  • A. hasFictionalCoFounder
    Indicates that an entity is associated with a co-founder who is a fictional or imaginary character rather than a real person.
  • B. hasFictionalBackstory
    Indicates that an entity is associated with an invented or imaginary narrative background rather than a real-world history.
  • C. foundedByFictional
    Indicates that an entity (such as an organization, place, or group) was established or created by a fictional character or entity.
  • D. isFictionallyCreatedBy
    Indicates that an entity is a fictional creation authored, invented, or brought into existence within a narrative by another entity.
  • E. hasFounderBackground chosen
    Indicates that an entity has a founder whose background (such as experience, education, or prior roles) matches a specified profile or characteristic.
  • 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_69f76ea0429081908c711b55599eac3c completed May 3, 2026, 3:49 p.m.
NER Named-entity recognition batch_6a0049e40d60819081e3899d8d9fca51 completed May 10, 2026, 9:03 a.m.
PD Predicate disambiguation batch_6a0048c47b548190ad31b2901cc3784a completed May 10, 2026, 8:58 a.m.
Created at: May 3, 2026, 4:15 p.m.