Triple

T28669929
Position Surface form Disambiguated ID Type / Status
Subject My Life with R. H. Macy E725685 entity
Predicate fictionalOrganizationDepicted P22830 FINISHED
Object R. H. Macy department store NE NERFINISHED

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: R. H. Macy department store | Statement: [My Life with R. H. Macy, fictionalOrganizationDepicted, R. H. Macy department store]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: fictionalOrganizationDepicted
Context triple: [My Life with R. H. Macy, fictionalOrganizationDepicted, R. H. Macy department store]
  • A. fictionalOrganizationFeatured chosen
    Indicates that a fictional organization is prominently presented or plays a significant role within a given work or context.
  • B. fictionalCorporation
    Indicates that an entity is a corporation that exists only in fiction rather than in the real world.
  • C. worksForFictionalOrganization
    Indicates that an entity is employed by or affiliated as a worker with a fictional organization.
  • D. fictionalOrganizationSponsor
    Indicates that one entity acts as a sponsor or patron for a fictional organization, providing support, endorsement, or resources to it.
  • E. hasFictionalCorporation
    Indicates that an entity is associated with or includes a fictional corporation within its content, setting, or narrative.
  • 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_69f01d85be388190b669a0e401e2f2c4 completed April 28, 2026, 2:37 a.m.
NER Named-entity recognition batch_69f7cec454a88190a9f3bbee2b856636 completed May 3, 2026, 10:40 p.m.
PD Predicate disambiguation batch_69f7c8977c288190997a892ec5f756ed completed May 3, 2026, 10:13 p.m.
Created at: April 28, 2026, 5:03 a.m.