Triple
T16610440
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ronald Ross |
E403550
|
entity |
| Predicate | awardReceived |
P11
|
FINISHED |
| Object | Buchanan Medal |
E110024
|
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: Buchanan Medal | Statement: [Ronald Ross, awardReceived, Buchanan Medal]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Buchanan Medal Context triple: [Ronald Ross, awardReceived, Buchanan Medal]
-
A.
Buchanan Medal
chosen
The Buchanan Medal is a prestigious award presented by the Royal Society for distinguished contributions to the medical sciences.
-
B.
Whitaker Medal
The Whitaker Medal is a prestigious honor in geology awarded by the Geological Society of London for distinguished contributions to the geosciences.
-
C.
Fenner Medal
The Fenner Medal is a prestigious Australian scientific award recognizing outstanding research in biology by early-career scientists.
-
D.
Moran Medal
The Moran Medal is a prestigious Australian science award recognizing outstanding research achievements by early- to mid-career scientists in the mathematical sciences.
-
E.
Bingham Medal
The Bingham Medal is a prestigious annual award in rheology recognizing outstanding contributions to the science and engineering of the deformation and flow of matter.
- 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_69d883880d0c81908b5fcd454e767b60 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e3609572508190a5d7e6c3e0a8cf95 |
completed | April 18, 2026, 10:44 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0075aca5c0819092637e0d83ce8ac0 |
completed | May 10, 2026, 12:10 p.m. |
Created at: April 10, 2026, 5:17 a.m.