Triple

T16514127
Position Surface form Disambiguated ID Type / Status
Subject Mary Brock E401136 entity
Predicate genreOfOrganizationOwned P123839 FINISHED
Object professional women’s basketball team 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: professional women’s basketball team | Statement: [Mary Brock, genreOfOrganizationOwned, professional women’s basketball team]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: genreOfOrganizationOwned
Context triple: [Mary Brock, genreOfOrganizationOwned, professional women’s basketball team]
  • A. organizationTypeOfOwner
    Indicates the type or category of organization that owns a given entity.
  • B. genreOfAssociatedPerson
    Indicates that a particular genre is associated with a given person, such as an artist, author, or performer.
  • C. hasTypeOfOrganization
    Indicates that an entity is classified as belonging to a particular type or category of organization.
  • D. hasGenreInPortfolio
    Indicates that an entity (such as a creator, label, or catalog) includes a particular genre within its body of work or offerings.
  • E. organizationType
    Indicates the specific category or classification of an organization in terms of its nature, structure, or primary function.
  • F. None of above. chosen

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_69d88381f6148190819958a038be990e completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e32e7a5ff88190984e2f2bc2fd17cc completed April 18, 2026, 7:10 a.m.
PD Predicate disambiguation batch_69e296995d388190b88ebe189dce890d completed April 17, 2026, 8:22 p.m.
PDg Predicate description generation batch_69e2d7f97e548190a474691a152bd8e8 completed April 18, 2026, 1:01 a.m.
Created at: April 10, 2026, 5:14 a.m.