Triple

T11241315
Position Surface form Disambiguated ID Type / Status
Subject Class C common stock E266078 entity
Predicate underlyingCompanyFounders P46924 FINISHED
Object Reggie Brown E56448 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: Reggie Brown | Statement: [Class C common stock, underlyingCompanyFounders, Reggie Brown]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Reggie Brown
Context triple: [Class C common stock, underlyingCompanyFounders, Reggie Brown]
  • A. Reggie Brown chosen
    Reggie Brown is an American entrepreneur best known as a co-founder of Snapchat, the multimedia messaging app developed by Snap Inc.
  • B. Ron Todd
    Ron Todd is an American politician who served as the Kansas Insurance Commissioner before Kathleen Sebelius.
  • C. Ron Todd
    Ron Todd was a prominent British trade union leader who served as a key figure in the labor movement during the late 20th century.
  • D. James Bolam
    James Bolam is an English actor best known for his roles in classic British television series such as "The Likely Lads" and "New Tricks."
  • E. Roy Kinnear
    Roy Kinnear was a British character actor known for his comic roles in film and television, including notable performances in movies like "Willy Wonka & the Chocolate Factory" and various Richard Lester 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_69d6aac656d48190b275efaa7d6074ee completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e919eaf48190a1457851cfc56afb completed April 9, 2026, 5:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69e712e6288481908071e248a50209e0 completed April 21, 2026, 6:02 a.m.
Created at: April 8, 2026, 9:30 p.m.