Triple

T11210460
Position Surface form Disambiguated ID Type / Status
Subject Mike Markkula E265290 entity
Predicate familyName P18 FINISHED
Object Markkula E265290 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: Markkula | Statement: [Mike Markkula, familyName, Markkula]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Markkula
Context triple: [Mike Markkula, familyName, Markkula]
  • A. Markkula chosen
    Markkula is a Finnish surname most notably associated with Mike Markkula, an early investor and executive at Apple Inc.
  • B. Raimondi
    Raimondi is an Italian surname borne by various notable figures in fields such as science, the arts, and public life.
  • C. Leonard Bosack
    Leonard Bosack is an American computer engineer and entrepreneur best known as the co-founder of Cisco Systems, a pioneering company in computer networking and internet infrastructure.
  • D. McNealy
    McNealy is the surname of Scott McNealy, the American businessman best known as the co-founder and longtime CEO of Sun Microsystems.
  • E. Noyce
    Noyce is a surname most notably associated with individuals such as Australian film director Phillip Noyce and American engineer and Intel co-founder Robert Noyce.
  • 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_69d6aac59460819089b9848b27f57848 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e8d6f5d4819086dcb776a0d469e8 completed April 9, 2026, 5:58 p.m.
NED1 Entity disambiguation (via context triple) batch_69e49747ec288190bc3e826b6de7f6f2 completed April 19, 2026, 8:50 a.m.
Created at: April 8, 2026, 9:30 p.m.