Triple

T22007630
Position Surface form Disambiguated ID Type / Status
Subject Donald Neil Johnston E543491 entity
Predicate alsoKnownAs P39 FINISHED
Object Neil Johnston NE NERFINISHED

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: Neil Johnston | Statement: [Donald Neil Johnston, alsoKnownAs, Neil Johnston]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Neil Johnston
Context triple: [Donald Neil Johnston, alsoKnownAs, Neil Johnston]
  • A. Neil Johnston chosen
    Neil Johnston is the husband of English actress Sue Johnston, known for her roles in television series such as "Brookside" and "The Royle Family."
  • B. Neil Johnston
    Neil Johnston was a dominant 1950s NBA center and Hall of Famer known for leading the league in scoring with the Philadelphia Warriors.
  • C. Michael C. Malin
    Michael C. Malin is an American planetary geologist and space scientist best known for leading the development of imaging systems for NASA Mars missions.
  • D. Alan Johnston
    Alan Johnston is a telecommunications engineer and VoIP security expert known for his contributions to secure real-time communication protocols such as ZRTP.
  • E. Edward Mayne
    Edward Mayne was the son of Sir Richard Mayne, a prominent 19th-century British lawyer and joint first Commissioner of the Metropolitan Police.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e11e2db934819095556760c7d85e4d completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f127a18c1081909d15aa7ed4b725e3 completed April 28, 2026, 9:33 p.m.
Created at: April 16, 2026, 8:21 p.m.