Triple
T17747352
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John Schneider |
E443021
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | John Schneider |
—
|
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: John Schneider | Statement: [John Schneider, name, John Schneider]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: John Schneider Context triple: [John Schneider, name, John Schneider]
-
A.
John Schneider
John Schneider is an American football executive best known as the longtime general manager who helped build the Seattle Seahawks into a Super Bowl–winning team.
-
B.
John Schneider
John Schneider is an American actor best known for his roles in the television series "The Dukes of Hazzard" and "Smallville."
-
C.
Tony Darrow
Tony Darrow is an American actor best known for his supporting roles as mobsters in films and television, particularly in Martin Scorsese’s crime dramas.
-
D.
Corey Gamble
Corey Gamble is an American talent manager and television personality best known for his long-term relationship with Kris Jenner and frequent appearances on "Keeping Up with the Kardashians."
-
E.
Jon Callas
Jon Callas is a cryptographer and security expert known for co-founding PGP Corporation and developing secure communication technologies.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide. chosen
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_69d8b9ed3a2081909b2ec0d4dd2f4c37 |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e47ad33160819093c9bbd3c8957314 |
completed | April 19, 2026, 6:48 a.m. |
Created at: April 10, 2026, 10:10 a.m.