Triple
T11829086
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Joe Franklin |
E281336
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Joe Franklin |
E281336
|
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 Franklin | Statement: [Joe Franklin, name, Joe Franklin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Joe Franklin Context triple: [Joe Franklin, name, Joe Franklin]
-
A.
Joe Franklin
chosen
Joe Franklin was an American radio and television host famed as a pioneer of the talk show format and for his long-running New York City program.
-
B.
John F. Reyburn
John F. Reyburn was an American Republican politician who served as a U.S. Representative from Pennsylvania and later as mayor of Philadelphia in the early 20th century.
-
C.
Jerry Van Dyke
Jerry Van Dyke was an American actor and comedian best known for his television work, including a prominent role on the sitcom "Coach."
-
D.
Ronald Colbert
Ronald Colbert is an individual notable enough to be recognized as a bearer of the surname Colbert.
-
E.
Jerry Warriner
Jerry Warriner is the charming, witty husband whose marital misadventures and romantic sparring drive the screwball comedy of the classic film "The Awful Truth."
- 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_69d6ab276f8c8190b1966a0ef11349ac |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d8a62b75dc8190b27d24e46a262a11 |
completed | April 10, 2026, 7:26 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f1672e736481909ba5f867cb840039 |
completed | April 29, 2026, 2:04 a.m. |
Created at: April 8, 2026, 9:43 p.m.