Triple

T12405261
Position Surface form Disambiguated ID Type / Status
Subject Miss Read E296367 entity
Predicate alsoKnownAs P39 FINISHED
Object Dora Jessie Shafe E981825 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: Dora Jessie Shafe | Statement: [Miss Read, alsoKnownAs, Dora Jessie Shafe]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dora Jessie Shafe
Context triple: [Miss Read, alsoKnownAs, Dora Jessie Shafe]
  • A. Dora Jessie Saint chosen
    Dora Jessie Saint, better known by her pen name Miss Read, was an English novelist celebrated for her gentle, nostalgic portrayals of rural village life in series such as the Fairacre and Thrush Green books.
  • B. Dora Bland
    Dora Bland, better known by her stage name Dorothea Jordan, was a celebrated 18th–19th century Anglo-Irish actress and comedian who became one of the most famous performers of the Georgian era.
  • C. Dora Strang
    Dora Strang is a character in Peter Shaffer's play "Equus," portrayed as the deeply religious mother of the troubled teenager Alan Strang.
  • D. Dora Luz
    Dora Luz was a Mexican singer and actress best known for her musical performances in classic Disney films of the 1940s.
  • E. Dora Johnston
    Dora Johnston was the wife of British Arabist, explorer, and intelligence officer St. John Philby.
  • 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_69d6ad9f464c81909db36d7e96e34b9e completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d94d48f1908190918551c794f98fe3 completed April 10, 2026, 7:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69f63efe60388190944fe3226be4cc7c completed May 2, 2026, 6:14 p.m.
Created at: April 8, 2026, 9:55 p.m.