Triple

T20484613
Position Surface form Disambiguated ID Type / Status
Subject Catherine Amy Dawson Scott E502555 entity
Predicate fullName P16 FINISHED
Object Catherine Amy Dawson Scott 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: Catherine Amy Dawson Scott | Statement: [Catherine Amy Dawson Scott, fullName, Catherine Amy Dawson Scott]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Catherine Amy Dawson Scott
Context triple: [Catherine Amy Dawson Scott, fullName, Catherine Amy Dawson Scott]
  • A. Catherine Amy Dawson Scott chosen
    Catherine Amy Dawson Scott was a British novelist and playwright best known for founding PEN International, the worldwide association of writers.
  • B. Catherine Wood Campbell
    Catherine Wood Campbell was the wife of American newspaper heir and businessman Randolph Apperson Hearst.
  • C. Charlotte Mary Campbell
    Charlotte Mary Campbell is a Scottish aristocrat and member of the prominent Campbell family, being a daughter of Torquhil Campbell, 13th Duke of Argyll.
  • D. Mary Frances Grant
    Mary Frances Grant was a 19th-century American woman best known as the daughter of Hannah Simpson Grant and the sister of U.S. President Ulysses S. Grant.
  • E. Martha Scott
    Martha Scott was an American actress known for her work in film, television, and theater, including prominent roles in classic Hollywood epics.
  • 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_69e0b4af32848190aea80682b44d5d6e completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e69b59ae2c8190bfa26a3f1e59b8d1 completed April 20, 2026, 9:32 p.m.
Created at: April 16, 2026, 11:34 a.m.