Triple

T9450006
Position Surface form Disambiguated ID Type / Status
Subject Morton D. Hull E227862 entity
Predicate givenName P17 FINISHED
Object Morton E377038 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: Morton | Statement: [Morton D. Hull, givenName, Morton]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Morton
Context triple: [Morton D. Hull, givenName, Morton]
  • A. Morton
    Morton is a timid yet loyal mouse-like creature in the animated film "Horton Hears a Who!" who serves as Horton's cautious but supportive friend.
  • B. Morton chosen
    Morton is the given first name of Mort Sahl, the influential Canadian-American stand-up comedian known for his pioneering political satire.
  • C. Morton
    Morton is a village and civil parish located within the historic district of Kesteven in Lincolnshire, England.
  • D. Morton
    Morton is a Scottish professional football club based in Greenock, Renfrewshire, known for competing in the Scottish league system.
  • E. Morton
    Morton is a common English surname of Norman origin, borne by numerous notable individuals across politics, sports, and the arts.
  • 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_69ca8439f8bc8190997f2ef40c9f0bc2 completed March 30, 2026, 2:10 p.m.
NER Named-entity recognition batch_69cd7f6649a48190b6844daa6202efe5 completed April 1, 2026, 8:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1106f38448190bfdc289eb987e33f completed April 4, 2026, 1:21 p.m.
Created at: March 30, 2026, 7:51 p.m.