Triple
T8476155
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jeff Fager |
E200398
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Jeff Fager |
E200398
|
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: Jeff Fager | Statement: [Jeff Fager, name, Jeff Fager]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jeff Fager Context triple: [Jeff Fager, name, Jeff Fager]
-
A.
Jeff Fager
chosen
Jeff Fager is an American television producer best known for leading and shaping the long-running CBS news magazine program "60 Minutes."
-
B.
Ron Torbert
Ron Torbert is an American NFL official who has served as a referee in multiple high-profile games, including Super Bowl LVI.
-
C.
Ben Fankhauser
Ben Fankhauser is an American stage actor and singer best known for originating the role of Davey in the Broadway production of the musical "Newsies."
-
D.
Ed Schafer
Ed Schafer is an American politician and businessman who served as Governor of North Dakota and later as the United States Secretary of Agriculture under President George W. Bush.
-
E.
Cliff Schmautz
Cliff Schmautz was a Canadian professional ice hockey right winger best known for his prolific scoring in the Western Hockey League and later play in the NHL during the 1960s and 1970s.
- 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_69ca831b17988190a1f3f3413d57b820 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe51e21548190811e3c7ba7b196e5 |
completed | March 31, 2026, 3:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce6d019b748190a972ae32a56523c0 |
completed | April 2, 2026, 1:20 p.m. |
Created at: March 30, 2026, 6:12 p.m.