Triple

T9646750
Position Surface form Disambiguated ID Type / Status
Subject Dorothy Arnold E233216 entity
Predicate name P16 FINISHED
Object Dorothy Arnold E289432 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: Dorothy Arnold | Statement: [Dorothy Arnold, name, Dorothy Arnold]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dorothy Arnold
Context triple: [Dorothy Arnold, name, Dorothy Arnold]
  • A. Dorothy Arnold chosen
    Dorothy Arnold was a young American socialite whose mysterious 1910 disappearance in New York City became one of the era’s most famous unsolved missing-person cases.
  • B. Dorothy Arnold
    Dorothy Arnold was an American film actress of the 1930s and 1940s who appeared in several Hollywood productions before retiring from the screen.
  • C. Dorothy Davenport
    Dorothy Davenport was an American silent film actress, director, and producer known for her socially conscious films in the early 20th century.
  • D. Dorothy Peterson
    Dorothy Peterson was an American character actress active in the early to mid-20th century, known for her numerous supporting roles in Hollywood films.
  • E. Dorothy Bussy
    Dorothy Bussy was an English novelist and translator best known for her close association with French writer André Gide and for translating many of his works into English.
  • 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_69ca848b31648190b57aa55da20285be completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd9b8122148190bd0af3a04b21e53e completed April 1, 2026, 10:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69e712b2ff1081908ccf311e1133ab72 completed April 21, 2026, 6:01 a.m.
Created at: March 30, 2026, 8:12 p.m.