Triple
T6793490
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Charles Weidman |
E155993
|
entity |
| Predicate | studiedUnder |
P7251
|
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: [Charles Weidman, studiedUnder, Ted Shawn]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ted Shawn Context triple: [Charles Weidman, studiedUnder, 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_69c6881844448190a65822d9b39d7f88 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d2af6f908190809e39b73894e513 |
completed | March 27, 2026, 6:55 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c71a90dfb081909120e8502b26a88b |
completed | March 28, 2026, 12:02 a.m. |
Created at: March 27, 2026, 2:15 p.m.