Triple
T17760524
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hoyt Wilhelm |
E443357
|
entity |
| Predicate | fullName |
P16
|
FINISHED |
| Object | James Hoyt Wilhelm |
—
|
NE NERFINISHED |
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: James Hoyt Wilhelm | Statement: [Hoyt Wilhelm, fullName, James Hoyt Wilhelm]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: James Hoyt Wilhelm Context triple: [Hoyt Wilhelm, fullName, James Hoyt Wilhelm]
-
A.
Don Ameche
Don Ameche was an American actor and radio star best known for his charismatic performances in classic Hollywood films and later for his Academy Award–winning role in the 1980s.
-
B.
James Hoyt
chosen
James Hoyt is an individual notable enough to be recognized as a prominent bearer of the Hoyt surname.
-
C.
Harold Hogan
Harold "Happy" Hogan is a fictional character in Marvel Comics and the Marvel Cinematic Universe, best known as Tony Stark’s loyal friend, bodyguard, and later head of security.
-
D.
Lee Sawyer
Lee Sawyer is a character from the thriller novel "Total Control," involved in the book’s high-stakes conspiracy and suspenseful plot.
-
E.
Willard Robertson
Willard Robertson was an American character actor and playwright active in early 20th-century stage and film, often appearing in supporting roles in Hollywood movies.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8b9edf16c8190a59ebd245d378f4f |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e48421c3048190b26864b72aad0d70 |
completed | April 19, 2026, 7:28 a.m. |
Created at: April 10, 2026, 10:11 a.m.