Triple

T9087055
Position Surface form Disambiguated ID Type / Status
Subject Clifford Brown E217784 entity
Predicate givenName P17 FINISHED
Object Clifford E219505 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: Clifford | Statement: [Clifford Brown, givenName, Clifford]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Clifford
Context triple: [Clifford Brown, givenName, Clifford]
  • A. Clifford chosen
    Clifford is an English surname historically associated with several notable figures in British politics, nobility, and public life.
  • B. Clifford
    Clifford is the young boy protagonist of the 1991 horror-comedy film "Critters 3."
  • C. Clarry
    Clarry is a diminutive or affectionate nickname derived from the given name Clarence.
  • D. Rackham
    Rackham is the surname of Arthur Rackham, the renowned English book illustrator celebrated for his distinctive, fantastical artwork in early 20th-century children’s literature and fairy tales.
  • E. Clive
    Clive is a suburban city in central Iowa, United States, known for its residential communities and location within the greater Des Moines metropolitan area.
  • 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_69ca83d8ab5881909d8fddae363b32b1 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cc965646408190b041ab0e2d5dbc94 completed April 1, 2026, 3:51 a.m.
NED1 Entity disambiguation (via context triple) batch_69d017c893fc819087d18db2383b9bb4 completed April 3, 2026, 7:40 p.m.
Created at: March 30, 2026, 7:13 p.m.