Triple

T6459888
Position Surface form Disambiguated ID Type / Status
Subject Biz Stone E142089 entity
Predicate founded P104 FINISHED
Object Obvious Corporation E17426 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: Obvious Corporation | Statement: [Biz Stone, founded, Obvious Corporation]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Obvious Corporation
Context triple: [Biz Stone, founded, Obvious Corporation]
  • A. Obvious Corporation chosen
    Obvious Corporation was the early holding company and development vehicle created by Twitter’s founders that incubated and spun out Twitter as an independent company.
  • B. Kopelson Entertainment
    Kopelson Entertainment is a film and television production company best known for producing high-profile Hollywood action and thriller movies.
  • C. Mirage Enterprises
    Mirage Enterprises is a film production company best known for producing acclaimed movies such as the Academy Award–winning drama "Out of Africa."
  • D. Stratton Oakmont
    Stratton Oakmont was a notorious Long Island-based brokerage firm known for its aggressive “pump and dump” stock schemes and central role in the securities fraud case involving Jordan Belfort.
  • E. Kaleidoscope Entertainment
    Kaleidoscope Entertainment is an Indian film production company known for backing notable Hindi cinema projects, including historical and socially themed films.
  • 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_69c008d2f91c8190a8178767a35e08fc completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c069f50ea88190af29c8c249ff2b69 completed March 22, 2026, 10:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69c64be1fad88190af07b7053811e3f2 completed March 27, 2026, 9:20 a.m.
Created at: March 22, 2026, 4:48 p.m.