Triple

T6656174
Position Surface form Disambiguated ID Type / Status
Subject Edwin Myers Shawn E150949 entity
Predicate alsoKnownAs P39 FINISHED
Object Ted Shawn E22929 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: Ted Shawn | Statement: [Edwin Myers Shawn, alsoKnownAs, Ted Shawn]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ted Shawn
Context triple: [Edwin Myers Shawn, alsoKnownAs, Ted Shawn]
  • A. Ted Shawn chosen
    Ted Shawn was a pioneering American modern dance choreographer and teacher who helped establish modern dance in the United States and co-founded the influential Denishawn company.
  • B. Nelson Eddy
    Nelson Eddy was a popular American baritone singer and film actor best known for his musical films of the 1930s and 1940s, particularly his collaborations with Jeanette MacDonald.
  • C. Arthur Mitchell
    Arthur Mitchell was a pioneering African American ballet dancer and choreographer who co-founded and directed the influential Dance Theatre of Harlem.
  • D. George White
    George White was a British Army general best known for commanding the garrison during the Siege of Ladysmith in the Second Boer War.
  • E. George White
    George White was a film editor active in mid-20th-century American cinema, known for his work on classic Hollywood productions.
  • 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_69c687f2c9508190a60b9aad31d3f358 completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c6b06dbbf88190b39564a688c25a24 completed March 27, 2026, 4:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6eefffdfc8190bc191606bdb481a5 completed March 27, 2026, 8:56 p.m.
Created at: March 27, 2026, 2:01 p.m.