Triple

T17919771
Position Surface form Disambiguated ID Type / Status
Subject Kathleen Burke E448034 entity
Predicate name P16 FINISHED
Object Kathleen Burke E448034 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: Kathleen Burke | Statement: [Kathleen Burke, name, Kathleen Burke]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kathleen Burke
Context triple: [Kathleen Burke, name, Kathleen Burke]
  • A. Kathleen Burke chosen
    Kathleen Burke was an American actress best known for her iconic role as Lota the Panther Woman in the 1932 horror film "Island of Lost Souls."
  • B. Cara Seymour
    Cara Seymour is a British actress known for her character roles in film and television, including her prominent part in the period medical drama series "The Knick."
  • C. Eva Taylor
    Eva Taylor was an American blues and jazz singer and actress prominent in the 1920s and 1930s, known for her recordings and performances in early African American popular music.
  • D. Ruth O'Brien
    Ruth O'Brien is the mother of American television host and comedian Conan O'Brien.
  • E. Gail Russell
    Gail Russell was an American film actress of the 1940s and 1950s, known for her haunting beauty and roles in films such as "The Uninvited" and "Angel and the Badman."
  • 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_69d8b9f6d394819082a6d69fd1e23d2f completed April 10, 2026, 8:51 a.m.
NER Named-entity recognition batch_69e4a309532881908633bd723923880f completed April 19, 2026, 9:40 a.m.
NED1 Entity disambiguation (via context triple) batch_6a032130dc1c819082168b89a41043e2 completed May 12, 2026, 12:46 p.m.
Created at: April 10, 2026, 10:20 a.m.