Triple

T9967203
Position Surface form Disambiguated ID Type / Status
Subject Carlton Cuse E195712 entity
Predicate givenName P17 FINISHED
Object Carlton E626035 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: Carlton | Statement: [Carlton Cuse, givenName, Carlton]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Carlton
Context triple: [Carlton Cuse, givenName, Carlton]
  • A. Carlton
    Carlton is a town in Nottinghamshire, England, situated just east of the city of Nottingham.
  • B. Carlton
    Carlton is a village and civil parish located within the English county of Suffolk.
  • C. Carlton
    Carlton is an inner-city suburb of Melbourne, Australia, known for its historic architecture, Lygon Street Italian precinct, and proximity to major universities and cultural institutions.
  • D. Carlton chosen
    Carlton is a surname of English origin borne by various notable individuals, including actors such as Timothy Carlton.
  • E. Carlton
    Carlton is a former British television company and brand best known for operating ITV franchises and producing a wide range of UK television programming in the 1990s and early 2000s.
  • 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_69ca82ebd1288190912f9e4482d1fa35 completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cdb71f9d7c8190ac02c53052c1c6ad completed April 2, 2026, 12:23 a.m.
NED1 Entity disambiguation (via context triple) batch_69d23dad53ac819097c4b687d49bd790 completed April 5, 2026, 10:47 a.m.
Created at: March 30, 2026, 8:47 p.m.