Triple

T18302915
Position Surface form Disambiguated ID Type / Status
Subject A Medium Corporation E438399 entity
Predicate name P16 FINISHED
Object A Medium Corporation 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: A Medium Corporation | Statement: [A Medium Corporation, name, A Medium Corporation]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: A Medium Corporation
Context triple: [A Medium Corporation, name, A Medium Corporation]
  • A. A Medium Corporation chosen
    A Medium Corporation is the corporate parent entity behind the online publishing platform Medium, overseeing its operations and business activities.
  • B. Bron Media Corp
    Bron Media Corp is a Canadian entertainment company that serves as the parent organization overseeing Bron Studios’ film and television production activities.
  • C. Big Corporation
    Big Corporation is a fictional corporate entity that serves as the central focus of the narrative in "The First Time."
  • D. Nine Media Corporation
    Nine Media Corporation is a Philippine media company best known for operating the CNN Philippines news and current affairs television network.
  • E. Mediaco Holding Inc.
    Mediaco Holding Inc. is a media company best known as the parent owner of New York City radio station WQHT ("Hot 97").
  • 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_69d8b915e3e881909125d760c15d0c29 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e5018176d481909536f50689f878d2 completed April 19, 2026, 4:23 p.m.
Created at: April 10, 2026, 10:35 a.m.