Triple

T6049463
Position Surface form Disambiguated ID Type / Status
Subject Archbold E134752 entity
Predicate notableBearer P458 FINISHED
Object John Dustin Archbold E25064 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: John Dustin Archbold | Statement: [Archbold, notableBearer, John Dustin Archbold]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: John Dustin Archbold
Context triple: [Archbold, notableBearer, John Dustin Archbold]
  • A. John Dustin Archbold chosen
    John Dustin Archbold was an American industrialist and key executive of the Standard Oil Company who became one of the most prominent figures in the early U.S. petroleum industry.
  • B. Jeremy Theobald
    Jeremy Theobald is a British actor best known for starring in Christopher Nolan’s debut feature film "Following."
  • C. Alexander Parris
    Alexander Parris was a prominent 19th-century American architect and engineer best known for his austere Greek Revival and early granite public buildings in New England.
  • D. Ian Bryce
    Ian Bryce is a British film producer known for his work on major Hollywood blockbusters such as Saving Private Ryan and the Transformers series.
  • E. Matthew Aldrich
    Matthew Aldrich is an American screenwriter best known for co-writing Pixar’s Academy Award–winning animated film "Coco."
  • 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_69c00876a69881908088a2626d3b2666 completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c056f4f84c8190a7e2416d81b3554c completed March 22, 2026, 8:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69c11d077fe48190af9f896df9028800 completed March 23, 2026, 10:59 a.m.
Created at: March 22, 2026, 4:09 p.m.