Triple

T10818938
Position Surface form Disambiguated ID Type / Status
Subject John Dana Archbold E255308 entity
Predicate hasAncestor P369 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: [John Dana Archbold, hasAncestor, John Dustin Archbold]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: John Dustin Archbold
Context triple: [John Dana Archbold, hasAncestor, 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. Joshua Luke Johnston
    Joshua Luke Johnston is the son of acclaimed American stage and screen actress Patti LuPone.
  • C. Jeremy Theobald
    Jeremy Theobald is a British actor best known for starring in Christopher Nolan’s debut feature film "Following."
  • D. 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.
  • E. 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.
  • 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_69d6aa8081448190a9324184f2bd1c26 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d734492be88190874ea0ba4d0fa643 completed April 9, 2026, 5:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69dff7c45f288190a5235b5d7000a32c completed April 15, 2026, 8:40 p.m.
Created at: April 8, 2026, 9:18 p.m.