Triple

T10526186
Position Surface form Disambiguated ID Type / Status
Subject Ross Webster E248310 entity
Predicate familyRelation P566 FINISHED
Object Vera Webster E323211 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 Webster | Statement: [Ross Webster, familyRelation, Vera Webster]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vera Webster
Context triple: [Ross Webster, familyRelation, Vera Webster]
  • A. Vera Webster chosen
    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.
  • B. Vera Osborne
    Vera Osborne was the wife of former Irish Taoiseach Liam Cosgrave and a member of a prominent Irish political family.
  • C. Vera Reynolds
    Vera Reynolds was an American silent film actress prominent in the 1920s, known for her leading roles in melodramas and romantic dramas.
  • D. Vera Russell
    Vera Russell was a person significant enough—likely a local figure or contributor to the region—to have the Russell East Glacier named in her honor.
  • E. Vera Lewis
    Vera Lewis was an American character actress of the silent and early sound film era, known for her frequent supporting roles in Hollywood productions.
  • 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_69d381c5c7448190bec34bee7ec72bac completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d509f4bbe88190bce7789a56c85671 completed April 7, 2026, 1:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69dbb6db3f2c81908a7cb28ca8e8ebc9 completed April 12, 2026, 3:14 p.m.
Created at: April 6, 2026, 12:29 p.m.