Triple

T10895589
Position Surface form Disambiguated ID Type / Status
Subject Conway Tearle E257299 entity
Predicate familyName P18 FINISHED
Object Levy E75258 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: Levy | Statement: [Conway Tearle, familyName, Levy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Levy
Context triple: [Conway Tearle, familyName, Levy]
  • A. Levy chosen
    Levy is a variant spelling of the name Levi, commonly used as a Jewish surname and sometimes as a given name.
  • B. Donlevy
    Donlevy is a surname most notably associated with American actor Brian Donlevy, known for his roles in mid-20th-century Hollywood films.
  • C. Levien
    Levien is a surname shared by various notable individuals across fields such as literature, film, and business.
  • D. Levshitz
    Levshitz is an alternative transliteration of the Russian surname Lifshitz, commonly associated with several notable scientists and intellectuals.
  • E. Leach
    Leach is the birth surname of classic Hollywood actor Cary Grant, who was born Archibald Alexander Leach.
  • 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_69d6aa8550c8819095508a2ed9acf3db completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d75d022f4c81909cd9ea27a9f0cd32 completed April 9, 2026, 8:02 a.m.
NED1 Entity disambiguation (via context triple) batch_69e15519e620819090e492861de6a567 completed April 16, 2026, 9:31 p.m.
Created at: April 8, 2026, 9:21 p.m.