Triple
T1325879
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Daniel Kleppner |
E28325
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Kleppner |
E28325
|
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: Kleppner | Statement: [Daniel Kleppner, familyName, Kleppner]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kleppner Context triple: [Daniel Kleppner, familyName, Kleppner]
-
A.
Feynman Lectures on Physics
Feynman Lectures on Physics is a renowned three-volume introductory physics textbook based on Richard Feynman’s legendary Caltech lectures, celebrated for its clarity, depth, and engaging style.
-
B.
Daniel Kleppner
chosen
Daniel Kleppner is an American physicist renowned for his pioneering work in atomic physics and contributions to the development of Bose–Einstein condensation.
-
C.
Kuhn
Kuhn is a surname most prominently associated with Bowie Kuhn, the former Commissioner of Major League Baseball.
-
D.
Rudin
Rudin is a surname most prominently associated with American film and theater producer Scott Rudin.
-
E.
Feynman’s Tips on Physics (as editor/curator)
Feynman’s Tips on Physics is a posthumous collection of Richard Feynman’s practical problem-solving insights and lecture supplements, compiled and edited by Michelle Feynman.
- 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_69a498540a2481909e807a762280d3ba |
completed | March 1, 2026, 7:49 p.m. |
| NER | Named-entity recognition | batch_69a4c19fd2648190932a85eacb3e7ec4 |
completed | March 1, 2026, 10:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69acbf3038148190bd945f67e1a619ca |
completed | March 8, 2026, 12:13 a.m. |
Created at: March 1, 2026, 7:55 p.m.