Triple
T15323237
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Washington Coliseum |
E366346
|
entity |
| Predicate | namedAfter |
P63
|
FINISHED |
| Object | Miguel L. Uline |
E366348
|
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: Miguel L. Uline | Statement: [Washington Coliseum, namedAfter, Miguel L. Uline]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Miguel L. Uline Context triple: [Washington Coliseum, namedAfter, Miguel L. Uline]
-
A.
Miguel L. Uline
chosen
Miguel L. Uline was a Washington, D.C. businessman and ice rink owner after whom the historic Uline Arena was named.
-
B.
Roger K. Ulrich
Roger K. Ulrich is a distinguished solar physicist recognized for his influential contributions to the study of the Sun’s interior and dynamics.
-
C.
Ralph Alswang
Ralph Alswang was an American theater architect and designer known for his influential work on major Broadway venues and stage productions.
-
D.
Walter H. Maurer
Walter H. Maurer is an American scholar of Sanskrit and South Asian studies, known for his work on Vedic literature and Hindu religious texts.
-
E.
Paul M. Postal
Paul M. Postal is an American linguist known for his influential work in generative grammar and contributions to syntactic theory.
- 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_69d85a121520819093dcce999fdefe1a |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03dd5ce0c819093c9a14de549dff6 |
completed | April 16, 2026, 1:39 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fef8aaef608190bd3ec9fdd215afbb |
completed | May 9, 2026, 9:04 a.m. |
Created at: April 10, 2026, 3:16 a.m.