Triple
T4346242
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Betfred |
E97908
|
entity |
| Predicate | hasKeyPerson |
P256
|
FINISHED |
| Object | Fred Done |
E432426
|
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: Fred Done | Statement: [Betfred, hasKeyPerson, Fred Done]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fred Done Context triple: [Betfred, hasKeyPerson, Fred Done]
-
A.
Fred Done
chosen
Fred Done is a British businessman and bookmaker best known as the co-founder and driving force behind the Betfred betting empire.
-
B.
Carl Mydans
Carl Mydans was an American photojournalist best known for his powerful documentary images of the Great Depression and World War II, including work for the Farm Security Administration and Life magazine.
-
C.
Harry Kurnitz
Harry Kurnitz was an American playwright, novelist, and screenwriter known for his witty crime and mystery scripts in mid-20th-century Hollywood.
-
D.
W. S. Van Dyke
W. S. Van Dyke was an American film director of Hollywood’s classic era, best known for his efficient, fast-paced filmmaking on hits like The Thin Man series and San Francisco.
-
E.
Milton R. Krasner
Milton R. Krasner was an American cinematographer renowned for his work on numerous classic Hollywood films, including the acclaimed drama "All About Eve."
- 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_69b34548402c819085ab68b27c235a87 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b3518d6728819084a2f40ae0bd3ac8 |
completed | March 12, 2026, 11:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5e4fa3c388190a5e3ceb733e278f8 |
completed | March 14, 2026, 10:45 p.m. |
Created at: March 12, 2026, 11:15 p.m.