Triple

T3804265
Position Surface form Disambiguated ID Type / Status
Subject Clifton E91765 entity
Predicate hasRelatedName P3889 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: [Clifton, hasRelatedName, Clifford]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Clifford
Context triple: [Clifton, hasRelatedName, 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. 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.
  • D. Clive
    Clive is a surname most famously associated with Robert Clive, the 18th-century British officer who played a key role in establishing British rule in India.
  • E. Everard
    Everard is a masculine given name of Old English origin, historically meaning “brave boar” or “strong as a wild boar.”
  • 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_69aed96354f48190a768966d6bd19b04 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aee7bc240881909e91b7b99403a13c completed March 9, 2026, 3:31 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4fb2a5af481908d69e1a88eb80d84 completed March 14, 2026, 6:07 a.m.
Created at: March 9, 2026, 3:15 p.m.