Triple

T4853885
Position Surface form Disambiguated ID Type / Status
Subject Bobby Murphy E108486 entity
Predicate businessPartner P282 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: [Bobby Murphy, businessPartner, Reggie Brown]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Reggie Brown
Context triple: [Bobby Murphy, businessPartner, 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. Richard Briers
    Richard Briers was an English actor best known for his work in British television comedies such as "The Good Life" and for his frequent collaborations with director Kenneth Branagh in both stage and film.
  • D. Douglas Hodge
    Douglas Hodge is an English actor and director known for his acclaimed work on stage and screen, including prominent roles in both classical theatre and television comedies.
  • E. Michael Hordern
    Michael Hordern was an English actor renowned for his distinguished stage and screen career, often noted for his Shakespearean roles and character work in British film and television.
  • 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_69bd440a89548190a5f14ba6da6b97dc completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6d3b00fc81909bdb95eb9648c907 completed March 20, 2026, 3:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69be9c3e308c8190bb8319d34366bbb3 completed March 21, 2026, 1:25 p.m.
Created at: March 20, 2026, 1:26 p.m.