Triple

T4323173
Position Surface form Disambiguated ID Type / Status
Subject Dottie West E96566 entity
Predicate birthName P65 FINISHED
Object Dorothy Marsh E254552 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 Marsh | Statement: [Dottie West, birthName, Dorothy Marsh]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dorothy Marsh
Context triple: [Dottie West, birthName, Dorothy Marsh]
  • A. Dorothy Marie Marsh chosen
    Dorothy Marie Marsh, better known as Dottie West, was an influential American country music singer-songwriter who helped shape the Nashville sound from the 1960s through the 1980s.
  • B. Dorothy Bracken
    Dorothy Bracken was an American actress and dancer best known for her work on Broadway and for being married to comedian Don Adams.
  • C. Dorothy Arnold
    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.
  • D. 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.
  • E. 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.
  • 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_69b345422aac81909ddbadae437d122e completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b351177eb88190b89fa49a88add5e8 completed March 12, 2026, 11:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6d4f458288190ac1d6a8489bbc943 completed March 27, 2026, 7:05 p.m.
Created at: March 12, 2026, 11:13 p.m.