Triple

T10255280
Position Surface form Disambiguated ID Type / Status
Subject Jane Wyman E240445 entity
Predicate alsoKnownAs P39 FINISHED
Object Sarah Jane Mayfield E107801 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: Sarah Jane Mayfield | Statement: [Jane Wyman, alsoKnownAs, Sarah Jane Mayfield]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sarah Jane Mayfield
Context triple: [Jane Wyman, alsoKnownAs, Sarah Jane Mayfield]
  • A. Sarah Jane Mayfield chosen
    Sarah Jane Mayfield was the birth name of Jane Wyman, the Academy Award–winning American actress and first wife of Ronald Reagan.
  • B. Emma Pritchard
    Emma Pritchard is an actress known for her role in the romantic comedy film "The Holiday."
  • C. Sarah Jane Russell
    Sarah Jane Russell is a British woman best known as the wife of Mark Thatcher, son of former UK Prime Minister Margaret Thatcher.
  • D. Daisy May Moses
    Daisy May Moses, better known as Granny, is the feisty, sharp-tongued matriarch of the Clampett family on the classic American sitcom "The Beverly Hillbillies."
  • E. Tessa Quayle
    Tessa Quayle is a passionate human-rights activist whose mysterious death in Kenya drives the political and emotional intrigue at the heart of John le Carré’s novel "The Constant Gardener."
  • 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_69d381a7e198819090280d5ab885d59e completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4d24c69ac81908b4da53d13407ac8 completed April 7, 2026, 9:45 a.m.
NED1 Entity disambiguation (via context triple) batch_69d6f7d7ff0c8190b8c9cf063532cdf2 completed April 9, 2026, 12:50 a.m.
Created at: April 6, 2026, 11:30 a.m.