Triple
T19612261
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Thomas Edward Bosley |
E470761
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Bosley |
—
|
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: Bosley | Statement: [Thomas Edward Bosley, familyName, Bosley]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bosley Context triple: [Thomas Edward Bosley, familyName, Bosley]
-
A.
Bosley
chosen
Bosley is a surname most famously associated with American actor Tom Bosley, known for his role as Howard Cunningham on the television series "Happy Days."
-
B.
Bosley
Bosley is the codename used for the key handler and coordinator of the Angels in the Charlie's Angels franchise, serving as their primary liaison and support.
-
C.
Ebsen
Ebsen is the surname of American actor and dancer Buddy Ebsen, best known for his roles in "The Beverly Hillbillies" and "Barnaby Jones."
-
D.
Sylvester
Sylvester is a classic Looney Tunes cartoon cat best known for his lisping voice and comical attempts to catch Tweety Bird.
-
E.
Sylvester
Sylvester is the middle name of William S. Harley, co-founder of the Harley-Davidson Motor Company.
- 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_69d8e510fa248190b7afb274a1d4cf73 |
completed | April 10, 2026, 11:54 a.m. |
| NER | Named-entity recognition | batch_69e640cbeda08190addb1adf84af4993 |
completed | April 20, 2026, 3:05 p.m. |
Created at: April 10, 2026, 1:43 p.m.