Triple

T10466356
Position Surface form Disambiguated ID Type / Status
Subject Will McKenzie E246806 entity
Predicate givenName P17 FINISHED
Object Will E3364 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: Will | Statement: [Will McKenzie, givenName, Will]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Will
Context triple: [Will McKenzie, givenName, Will]
  • A. Will chosen
    Will is a common shortened form of the given name William, frequently used as a familiar or informal first name.
  • B. Wills
    Wills is a surname most notably associated with Childe Harold Wills, an early automotive engineer and key collaborator of Henry Ford in the development of the Model T.
  • C. Wills
    Wills is an Indian cigarette brand historically known for its prominent sponsorship of major cricket tournaments and events.
  • D. Wil
    Wil is a common shortened form of the given name Willem, often used as an informal or familiar nickname.
  • E. True Will
    True Will is Aleister Crowley’s central occult concept describing an individual’s unique, divinely aligned purpose or path in life, discovered and followed through Thelemic spiritual practice.
  • 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_69d381c16c248190a2fe5b471e584e9c completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d5092d6d408190b6bda4d7ced4601e completed April 7, 2026, 1:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69d89fe6129881908c658ff977e68135 completed April 10, 2026, 6:59 a.m.
Created at: April 6, 2026, 12:19 p.m.