Triple
T3908052
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Martin Ryle |
E87252
|
entity |
| Predicate | awardReceived |
P11
|
FINISHED |
| Object | Bruce Medal |
E17796
|
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: Bruce Medal | Statement: [Martin Ryle, awardReceived, Bruce Medal]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bruce Medal Context triple: [Martin Ryle, awardReceived, Bruce Medal]
-
A.
Bruce Medal
chosen
The Bruce Medal is a prestigious award in astronomy given for lifetime contributions to the field.
-
B.
Royal Medal
The Royal Medal is a prestigious scientific award presented by the Royal Society to recognize outstanding contributions to the natural sciences.
-
C.
Royal Medal
The Royal Medal is a prestigious award presented by the Royal Geographical Society to recognize outstanding contributions to geographical science and exploration.
-
D.
Banting Medal
The Banting Medal is the highest scientific honor awarded by the American Diabetes Association for outstanding contributions to diabetes research.
-
E.
Busk Medal
The Busk Medal is a prestigious award presented by the Royal Geographical Society to recognize outstanding contributions to field research, exploration, and geography.
- 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_69aed9424514819086e9c58adde6652d |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aeed13bb14819096842c6c82342524 |
completed | March 9, 2026, 3:53 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5337f3ae08190ba68fc20a3ba4692 |
completed | March 14, 2026, 10:07 a.m. |
Created at: March 9, 2026, 3:22 p.m.