Triple
T7524180
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dan David Prize |
E177848
|
entity |
| Predicate | namedAfter |
P63
|
FINISHED |
| Object | Dan David |
E177848
|
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: Dan David | Statement: [Dan David Prize, namedAfter, Dan David]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dan David Context triple: [Dan David Prize, namedAfter, Dan David]
-
A.
Dan David
chosen
Dan David was a Romanian-born Israeli businessman and philanthropist best known for founding the international Dan David Prize for outstanding contributions to humanity.
-
B.
Dan Shulman
Dan Shulman is a Canadian sportscaster best known for his long-running play-by-play work on Major League Baseball and college basketball broadcasts for ESPN and other networks.
-
C.
Paul Ben-Haim
Paul Ben-Haim was a prominent German-born Israeli composer and conductor, known as a pioneer of Israeli art music who blended Western classical traditions with Middle Eastern and Jewish musical elements.
-
D.
Jon Rubinstein
Jon Rubinstein is an American computer engineer and executive best known for his key role in developing Apple's iPod and later leading Palm as CEO.
-
E.
Andrew Rabinovich
Andrew Rabinovich is a computer scientist and researcher known for his contributions to computer vision and deep learning, including influential work at Google.
- 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_69c69f29bf3081909a146aec7755f185 |
completed | March 27, 2026, 3:15 p.m. |
| NER | Named-entity recognition | batch_69c6f7c61b508190b582f54ecbb387e3 |
completed | March 27, 2026, 9:33 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c84631e6bc819099b3a7819c3ae9a7 |
completed | March 28, 2026, 9:20 p.m. |
Created at: March 27, 2026, 3:46 p.m.