Triple
T5618294
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Drell–Yan process |
E147532
|
entity |
| Predicate | theorist |
P55473
|
FINISHED |
| Object | Sidney Drell |
E134899
|
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: Sidney Drell | Statement: [Drell–Yan process, theorist, Sidney Drell]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sidney Drell Context triple: [Drell–Yan process, theorist, Sidney Drell]
-
A.
Sidney Drell
chosen
Sidney Drell was an American theoretical physicist renowned for his contributions to quantum field theory and particle physics, as well as for his influential work in national security and arms control policy.
-
B.
Gerald Guralnik
Gerald Guralnik was an American theoretical physicist best known as one of the co-discoverers of the Higgs mechanism that explains how particles acquire mass.
-
C.
Stanley R. Jaffe
Stanley R. Jaffe is an American film producer best known for his work on acclaimed movies such as "Kramer vs. Kramer."
-
D.
Sidney Coleman
Sidney Coleman was an influential American theoretical physicist renowned for his work in quantum field theory and for his exceptional teaching and expository lectures at Harvard University.
-
E.
Murray Feshbach
Murray Feshbach was an American demographer and scholar known for his pioneering research on Soviet and Russian population, public health, and environmental issues.
- 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_69c00905d4588190bd967842bbcf2219 |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c021dd5d0081909d18d16596fac507 |
completed | March 22, 2026, 5:07 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c07d9efae4819089c595682e270188 |
completed | March 22, 2026, 11:39 p.m. |
Created at: March 22, 2026, 3:40 p.m.