Triple
T10250987
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Millikan Medal |
E240338
|
entity |
| Predicate | notableRecipient |
P108
|
FINISHED |
| Object | Edward F. Redish |
E47865
|
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: Edward F. Redish | Statement: [Millikan Medal, notableRecipient, Edward F. Redish]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Edward F. Redish Context triple: [Millikan Medal, notableRecipient, Edward F. Redish]
-
A.
Edward F. Redish
chosen
Edward F. Redish is a prominent American physics education researcher known for his influential work on how students learn physics and for helping to shape modern physics education reform.
-
B.
John P. Jewett
John P. Jewett was a 19th-century American publisher best known for issuing Harriet Beecher Stowe’s influential anti-slavery novel "Uncle Tom’s Cabin."
-
C.
Eric Mazur
Eric Mazur is a physicist and Harvard University professor renowned for pioneering peer instruction and innovative methods in physics education.
-
D.
Paul F. Edwards
Paul F. Edwards is a television and film screenwriter best known for his work on the acclaimed American Civil War miniseries "North and South."
-
E.
David P. Landau
David P. Landau is a physicist renowned for his pioneering work in computational statistical physics and Monte Carlo simulations of phase transitions and critical phenomena.
- 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_69d381a7e198819090280d5ab885d59e |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4d23d7300819095971560759cf456 |
completed | April 7, 2026, 9:45 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d6f7bf00c881909c1e494a9460c3ce |
completed | April 9, 2026, 12:50 a.m. |
Created at: April 6, 2026, 11:28 a.m.