Triple
T4032534
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ford C. Frick Award |
E83747
|
entity |
| Predicate | hasNotableRecipient |
P108
|
FINISHED |
| Object | Bob Prince |
E164208
|
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: Bob Prince | Statement: [Ford C. Frick Award, hasNotableRecipient, Bob Prince]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bob Prince Context triple: [Ford C. Frick Award, hasNotableRecipient, Bob Prince]
-
A.
Bob Prince
chosen
Bob Prince was a legendary American sportscaster best known as the longtime, colorful radio and television voice of the Pittsburgh Pirates.
-
B.
Robert Prince
Robert Prince was a 17th-century New England colonist best known as the husband of Sarah Osborne, one of the first women accused during the Salem witch trials.
-
C.
Robert Prince
Robert Prince was an American jazz arranger and composer best known for his work in television and film scoring.
-
D.
Tony Roberts
Tony Roberts is an American actor best known for his frequent collaborations with Woody Allen in films such as "Annie Hall."
-
E.
Alvin Sargent
Alvin Sargent was an American screenwriter best known for his Oscar-winning work on films like "Julia" and "Ordinary People" and for co-writing several "Spider-Man" movies.
- 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_69aed92e29ac819080f7a98b594fec05 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aefb0f776881909db6b7df1db7664c |
completed | March 9, 2026, 4:53 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5563b6d8c8190862597ea39b56de1 |
completed | March 14, 2026, 12:36 p.m. |
Created at: March 9, 2026, 3:36 p.m.