Triple
T14711990
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John from Cincinnati |
E345567
|
entity |
| Predicate | hasMainCharacter |
P1183
|
FINISHED |
| Object | Shaun Yost |
E1116248
|
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: Shaun Yost | Statement: [John from Cincinnati, hasMainCharacter, Shaun Yost]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Shaun Yost Context triple: [John from Cincinnati, hasMainCharacter, Shaun Yost]
-
A.
Mitch Yost
chosen
Mitch Yost is a former surfing legend and troubled patriarch in the television drama "John from Cincinnati."
-
B.
Mike Riley
Mike Riley is an American football coach best known for his long tenure leading the Oregon State Beavers and multiple stints as a head coach in both college football and the NFL.
-
C.
Patrick Pewterschmidt
Patrick Pewterschmidt is a recurring character on the animated TV show "Family Guy," known as Lois Griffin’s mentally unstable brother with a dark and disturbing personality.
-
D.
Jeff Glor
Jeff Glor is an American journalist and television news anchor best known for serving as the anchor of the CBS Evening News.
-
E.
Matt Keeslar
Matt Keeslar is an American actor known for his work in film and television, including prominent roles in science fiction and fantasy adaptations.
- 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_69d822e4a8c08190a155df736bb7bc13 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb982bf248190881e21a8a0861a3f |
completed | April 14, 2026, 10:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fdfb845de08190b933d90809cde830 |
completed | May 8, 2026, 3:04 p.m. |
Created at: April 10, 2026, 1:28 a.m.