Triple

T24331965
Position Surface form Disambiguated ID Type / Status
Subject Gianni Harrell E613269 entity
Predicate industryNetwork P51954 FINISHED
Object American entertainment industry 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: American entertainment industry | Statement: [Gianni Harrell, industryNetwork, American entertainment industry]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: industryNetwork
Context triple: [Gianni Harrell, industryNetwork, American entertainment industry]
  • A. industryConnection chosen
    Indicates a professional or business relationship linking entities within the same or related industries, such as partnerships, collaborations, or shared sector involvement.
  • B. industryConsortium
    Indicates a collaborative association where multiple organizations formally join together within an industry to pursue shared goals, standards, or initiatives.
  • C. industryIntegrated
    Indicates that something is closely connected or coordinated with industry practices, partners, or environments, often through collaboration, alignment, or direct involvement.
  • D. industryExposure
    Indicates the extent to which an entity is involved in, affected by, or financially linked to a particular industry or set of industries.
  • E. industryStart
    Indicates the point in time or event at which an industry, industrial activity, or industrial era begins.
  • 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_69e2d7db6d5c819091194918157a7c1f completed April 18, 2026, 1:01 a.m.
NER Named-entity recognition batch_69f292f23db08190b701bb13aef7f10d completed April 29, 2026, 11:23 p.m.
PD Predicate disambiguation batch_69f287ad30048190b3ad3613486f277f completed April 29, 2026, 10:35 p.m.
Created at: April 18, 2026, 1:55 a.m.