Triple

T6406374
Position Surface form Disambiguated ID Type / Status
Subject Vera Lewis E127589 entity
Predicate name P16 FINISHED
Object Vera Lewis E127589 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: Vera Lewis | Statement: [Vera Lewis, name, Vera Lewis]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vera Lewis
Context triple: [Vera Lewis, name, Vera Lewis]
  • A. Vera Lewis chosen
    Vera Lewis was an American character actress of the silent and early sound film era, known for her frequent supporting roles in Hollywood productions.
  • B. Vera Webster
    Vera Webster is a villainous character in the film "Superman III," known as the ambitious and ruthless sister of industrialist Ross Webster who becomes partially transformed into a cyborg.
  • C. Vera Florence Cooper
    Vera Florence Cooper, better known as Vera Rubin, was an American astronomer whose pioneering work on galaxy rotation curves provided key evidence for the existence of dark matter.
  • D. Veronica Wadley
    Veronica Wadley is a British journalist and media executive best known for her tenure as editor of the London Evening Standard and later roles in public and cultural policy.
  • E. Vera Louise Gorman
    Vera Louise Gorman is a sweet but scatterbrained waitress and one of the central comedic characters on the sitcom "Alice."
  • 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_69c0083723d88190b1e37b19df162c08 completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c068b3541c8190be89b24b313d7300 completed March 22, 2026, 10:09 p.m.
NED1 Entity disambiguation (via context triple) batch_69c638af5450819089d0b68721eaea4d completed March 27, 2026, 7:58 a.m.
Created at: March 22, 2026, 4:41 p.m.