Triple

T10435561
Position Surface form Disambiguated ID Type / Status
Subject George Villiers, 4th Earl of Clarendon E246028 entity
Predicate familyName P18 FINISHED
Object Villiers E246028 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: Villiers | Statement: [George Villiers, 4th Earl of Clarendon, familyName, Villiers]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Villiers
Context triple: [George Villiers, 4th Earl of Clarendon, familyName, Villiers]
  • A. Villiers chosen
    Villiers is a prominent English aristocratic surname historically associated with influential political figures and members of the nobility.
  • B. Villiers
    Villiers is a Paris Métro station in the 8th and 17th arrondissements, serving as an interchange between lines 2 and 3.
  • C. Brougham Villiers
    Brougham Villiers is a notable member of the Villiers family, recognized primarily for his association with the prominent Villiers lineage.
  • D. Talbot
    Talbot is a surname of English and Norman origin, historically associated with several notable families and individuals.
  • E. Heydon
    Heydon is a surname and place name of English origin, associated with various locations and families in the United Kingdom.
  • 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_69d381bf3dc08190bf35a2643e4e8f22 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4ea843f1c8190afca4a42bc364468 completed April 7, 2026, 11:29 a.m.
NED1 Entity disambiguation (via context triple) batch_69d94afc8ef0819093791447d3c3c018 completed April 10, 2026, 7:09 p.m.
Created at: April 6, 2026, 12:14 p.m.