Triple

T18330445
Position Surface form Disambiguated ID Type / Status
Subject SheKnows Media Voice of the Year E439123 entity
Predicate hasOrganizer P123 FINISHED
Object SheKnows Media 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: SheKnows Media | Statement: [SheKnows Media Voice of the Year, hasOrganizer, SheKnows Media]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: SheKnows Media
Context triple: [SheKnows Media Voice of the Year, hasOrganizer, SheKnows Media]
  • A. SheKnows Media chosen
    SheKnows Media is a digital media company focused on women’s lifestyle content and community-driven platforms.
  • B. SheKnows
    SheKnows is a digital media brand focused on lifestyle, entertainment, and parenting content primarily for women.
  • C. Gawker Media
    Gawker Media was a now-defunct American online media company known for its network of influential blogs covering gossip, technology, feminism, and pop culture.
  • D. Informant Media
    Informant Media is an independent film production company known for producing character-driven dramas and romantic comedies.
  • E. Relativity Media
    Relativity Media is an American film and media company known for financing, producing, and distributing a wide range of Hollywood movies across various genres.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8b916a2d081909e249e4902f6aad9 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e50ec900808190bc4468270e0957c1 completed April 19, 2026, 5:20 p.m.
Created at: April 10, 2026, 10:36 a.m.