Triple

T1245274
Position Surface form Disambiguated ID Type / Status
Subject Biz Stone E26749 entity
Predicate coFounded P104 FINISHED
Object Medium E95216 NE 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: Medium | Statement: [Biz Stone, coFounded, Medium]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Medium
Context triple: [Biz Stone, coFounded, Medium]
  • A. Medium chosen
    Medium is an online publishing platform that allows writers and readers to share and discover long-form articles, essays, and stories across a wide range of topics.
  • B. Medium Cool
    Medium Cool is a 1969 American drama film directed by Haskell Wexler that blends fiction and documentary techniques to depict social and political unrest surrounding the 1968 Democratic National Convention in Chicago.
  • C. Min
    Min is a common given name of Chinese origin used for both males and females.
  • D. Mitte
    Mitte is the central district of Berlin, Germany, known as the historic core of the city and home to many major landmarks and government institutions.
  • E. Easy
    "Easy" is a song by Joanna Newsom from her 2010 triple album *Have One on Me*, noted for its intricate harp arrangements and poetic lyrics.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69a4948689d08190b3a4a3f388c02148 completed March 1, 2026, 7:33 p.m.
NER Named-entity recognition batch_69a4bf6498948190b30b09d845d67ac4 completed March 1, 2026, 10:36 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac8f7da5c48190b013f1578c160d78 completed March 7, 2026, 8:50 p.m.
Created at: March 1, 2026, 7:47 p.m.