Triple

T4470082
Position Surface form Disambiguated ID Type / Status
Subject Maxwell Perkins E98473 entity
Predicate familyName P18 FINISHED
Object Perkins E209764 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: Perkins | Statement: [Maxwell Perkins, familyName, Perkins]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Perkins
Context triple: [Maxwell Perkins, familyName, Perkins]
  • A. Perkins chosen
    Perkins is a common English surname borne by numerous notable individuals across politics, arts, sports, and academia.
  • B. Brinkman
    Brinkman is a surname of Germanic origin borne by various notable individuals across fields such as sports, politics, and the arts.
  • C. Perkins Engines Company Limited
    Perkins Engines Company Limited is a British manufacturer renowned for its diesel engines used in industrial, agricultural, construction, and power generation applications worldwide.
  • D. Wyman-Gordon
    Wyman-Gordon is an industrial manufacturer known for producing high-strength forged components, particularly for the aerospace and energy industries.
  • E. Couper
    Couper is a surname and variant spelling of Cooper, used by various individuals and families, particularly in English-speaking regions.
  • 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_69b3454b4ae481908967426dd37284d6 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b3569cd03c8190927c596bedb45ac8 completed March 13, 2026, 12:13 a.m.
NED1 Entity disambiguation (via context triple) batch_69b6286c75b08190bd683d300f6c97f0 completed March 15, 2026, 3:33 a.m.
Created at: March 12, 2026, 11:34 p.m.