Triple

T6993622
Position Surface form Disambiguated ID Type / Status
Subject Janet Shearon E162145 entity
Predicate givenName P17 FINISHED
Object Janet Elizabeth E74976 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: Janet Elizabeth | Statement: [Janet Shearon, givenName, Janet Elizabeth]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Janet Elizabeth
Context triple: [Janet Shearon, givenName, Janet Elizabeth]
  • A. Janet Julian
    Janet Julian is an American actress known for her roles in film and television, including a notable appearance in the crime drama "King of New York."
  • B. Janet Patterson
    Janet Patterson was an acclaimed Australian costume and production designer known for her richly detailed period work on films such as "The Piano" and "Oscar and Lucinda."
  • C. Janet chosen
    Janet is a feminine given name commonly used in English-speaking countries, often associated with notable figures in entertainment and public life.
  • D. Janet Shearon
    Janet Shearon was the first wife of astronaut Neil Armstrong, with whom she shared much of his early aviation and NASA career before their divorce.
  • E. Janet Sanderson
    Janet Sanderson was the wife of British geologist Charles Lapworth, noted mainly in historical records for her marriage to him.
  • 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_69c68856d7808190ab33ee914640281b completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6dbeaa88c8190a49f8504c1793e1f completed March 27, 2026, 7:35 p.m.
NED1 Entity disambiguation (via context triple) batch_69c77551f85881909893d67176ee5556 completed March 28, 2026, 6:29 a.m.
Created at: March 27, 2026, 2:32 p.m.