Triple

T21652826
Position Surface form Disambiguated ID Type / Status
Subject Elizabeth Ashley E534380 entity
Predicate name P16 FINISHED
Object Elizabeth Ashley NE NERFINISHED

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: Elizabeth Ashley | Statement: [Elizabeth Ashley, name, Elizabeth Ashley]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Elizabeth Ashley
Context triple: [Elizabeth Ashley, name, Elizabeth Ashley]
  • A. Elizabeth Ashley chosen
    Elizabeth Ashley is an American actress known for her Tony Award-winning stage work and prominent film and television roles from the 1960s onward.
  • B. Mary Apthorp
    Mary Apthorp was the wife of influential American theologian and Congregational minister Horace Bushnell in the 19th century.
  • C. Letitia McKean
    Letitia McKean was a daughter of Thomas McKean, a prominent American Founding Father and signer of the Declaration of Independence.
  • D. Mary Avenel
    Mary Avenel is a central fictional heroine in Sir Walter Scott’s novel "The Monastery," notable for her mysterious background and role in the story’s blend of romance and the supernatural.
  • E. Rebecca Tayloe
    Rebecca Tayloe was a Virginia plantation heiress who became the wife of American Founding Father and Declaration of Independence signer Francis Lightfoot Lee.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0c466aec88190ba39c7543dbc8ba2 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69ef591594a08190bf0ddd0a0c0922ba completed April 27, 2026, 12:39 p.m.
Created at: April 16, 2026, 6:36 p.m.