Triple
T14267732
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Joe Dougherty |
E353692
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Joe Dougherty |
E353692
|
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: Joe Dougherty | Statement: [Joe Dougherty, name, Joe Dougherty]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Joe Dougherty Context triple: [Joe Dougherty, name, Joe Dougherty]
-
A.
Joe Dougherty
chosen
Joe Dougherty was an American voice actor best known for originating the voice of the Warner Bros. cartoon character Porky Pig in the 1930s.
-
B.
James Dougherty
James Dougherty was an American police officer best known as the first husband of Marilyn Monroe before she became a famous actress.
-
C.
Charles Dougherty
Charles Dougherty was a prominent 19th-century Georgia jurist and political figure for whom Dougherty County was named.
-
D.
Phil Morrow
Phil Morrow is a television producer known for his work in developing and producing various entertainment and factual programs.
-
E.
Philip DeGuard
Philip DeGuard was an American animation background artist best known for his richly detailed and stylized work on classic Warner Bros. cartoons.
- 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_69d8278d25148190abf1a8c8f5f533ad |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de6358c2288190ac1fd26e688a605d |
completed | April 14, 2026, 3:55 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe9db6187c8190969b035bc2813413 |
completed | May 9, 2026, 2:36 a.m. |
Created at: April 10, 2026, 1:10 a.m.