Triple

T2789113
Position Surface form Disambiguated ID Type / Status
Subject Perkins Coie E61883 entity
Predicate hasFounder P104 FINISHED
Object George A. Perkins E61883 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: George A. Perkins | Statement: [Perkins Coie, hasFounder, George A. Perkins]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: George A. Perkins
Context triple: [Perkins Coie, hasFounder, George A. Perkins]
  • A. George A. Perkins chosen
    George A. Perkins was an American lawyer best known as a founding partner of the prominent U.S. law firm Perkins Coie.
  • B. George C. Perkins
    George C. Perkins was an American politician and businessman who served as the 14th governor of California and later as a U.S. Senator.
  • C. George W. Perkins
    George W. Perkins was an American financier and philanthropist known for his influential role in Progressive Era reforms and support of major public health and social causes.
  • D. Horace W. Peaslee
    Horace W. Peaslee was an American architect best known for designing prominent public monuments and civic buildings in the early to mid-20th century.
  • E. Amos G. Throop
    Amos G. Throop was an American educator and philanthropist whose early vocational school in Pasadena evolved into the California Institute of Technology.
  • 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_69ab4b7f51d881908768300ebd2fbdae completed March 6, 2026, 9:47 p.m.
NER Named-entity recognition batch_69abddb3d63c8190b3ab5fa363c69db8 completed March 7, 2026, 8:11 a.m.
NED1 Entity disambiguation (via context triple) batch_69bf91db342c819084d3f59157518128 completed March 22, 2026, 6:53 a.m.
Created at: March 6, 2026, 9:58 p.m.