Triple
T1336785
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wyly Theatre |
E28769
|
entity |
| Predicate | namedAfter |
P63
|
FINISHED |
| Object | Dee Wyly |
E154826
|
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: Dee Wyly | Statement: [Wyly Theatre, namedAfter, Dee Wyly]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dee Wyly Context triple: [Wyly Theatre, namedAfter, Dee Wyly]
-
A.
Pat Tilley
Pat Tilley is a former American football wide receiver best known for his productive NFL career with the St. Louis Cardinals in the 1970s and early 1980s.
-
B.
Cheryl Alley
Cheryl Alley, also known as Cheryl Howard, is an American writer and actress best known as the longtime wife of filmmaker Ron Howard.
-
C.
Charles Wyly
chosen
Charles Wyly was an American billionaire businessman and philanthropist known for his major contributions to arts and cultural institutions, particularly in Dallas, Texas.
-
D.
Christiana Wyly
Christiana Wyly is an American environmental advocate and heiress known for her work in sustainability and philanthropy.
-
E.
Loretta Rogers
Loretta Rogers is a Canadian philanthropist and longtime director of Rogers Communications, known as the widow of company founder Ted Rogers.
- 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_69a498561a508190a3e1bc137c2b866a |
completed | March 1, 2026, 7:49 p.m. |
| NER | Named-entity recognition | batch_69a4c1edda1c81909a1149b254b0d57e |
completed | March 1, 2026, 10:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69acce660ccc8190abc6cdceaf09101c |
completed | March 8, 2026, 1:18 a.m. |
Created at: March 1, 2026, 7:55 p.m.