Triple

T13091313
Position Surface form Disambiguated ID Type / Status
Subject GC&CS E310468 entity
Predicate employerOf P7 FINISHED
Object Mavis Batey E340023 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: Mavis Batey | Statement: [GC&CS, employerOf, Mavis Batey]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mavis Batey
Context triple: [GC&CS, employerOf, Mavis Batey]
  • A. Mavis Batey chosen
    Mavis Batey was a British codebreaker at Bletchley Park during World War II who played a key role in deciphering enemy communications, and later became a noted garden historian and author.
  • B. Gladys Nicholls
    Gladys Nicholls was an Australian Aboriginal activist and community leader known for her work in advancing Indigenous rights and welfare.
  • C. Gladys Brockwell
    Gladys Brockwell was an American stage and silent film actress known for her intense dramatic roles during the early 20th century.
  • D. Mavis Villiers
    Mavis Villiers was an Australian-born British character actress known for her supporting roles in mid-20th-century film and television.
  • E. Betty Willis
    Betty Willis was an American graphic designer best known for creating the iconic "Welcome to Fabulous Las Vegas" sign, a landmark symbol of the city and mid-20th-century neon design.
  • 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_69d806a733548190989cfd4ce981ca33 completed April 9, 2026, 8:05 p.m.
NER Named-entity recognition batch_69d9813acbac8190b2fe5e07287457cf completed April 10, 2026, 11:01 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6ff051bc88190a55c55377a352d3b completed May 3, 2026, 7:53 a.m.
Created at: April 9, 2026, 9:03 p.m.