Triple

T21669141
Position Surface form Disambiguated ID Type / Status
Subject Maxwell (automobile) E534799 entity
Predicate foundedBy P104 FINISHED
Object Benjamin Briscoe 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: Benjamin Briscoe | Statement: [Maxwell (automobile), foundedBy, Benjamin Briscoe]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Benjamin Briscoe
Context triple: [Maxwell (automobile), foundedBy, Benjamin Briscoe]
  • A. Benjamin Briscoe chosen
    Benjamin Briscoe was an early American automobile pioneer and industrialist who played a key role in the formation of several major car companies in the early 20th century.
  • B. Brent Briscoe
    Brent Briscoe was an American character actor and screenwriter known for his supporting roles in films like "A Simple Plan" and various television series.
  • C. Joshua Brookes
    Joshua Brookes was an English anatomist and naturalist known for his extensive anatomical collections and contributions to zoological nomenclature.
  • D. Mark Briscoe
    Mark Briscoe is an American professional wrestler best known as one half of the acclaimed tag team The Briscoe Brothers, alongside his late brother Jay Briscoe.
  • E. Nathan Bexton
    Nathan Bexton is an American actor best known for his role in the 2000 teen thriller film "The In Crowd."
  • 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_69e0c46898008190aa618a4af55bd1ee completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69ef6c0e008c8190a549d275b1c98e0b completed April 27, 2026, 2 p.m.
Created at: April 16, 2026, 6:37 p.m.