Triple
T93103
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Martin Hellman |
E1871
|
entity |
| Predicate | awardReceived |
P11
|
FINISHED |
| Object | Marconi Prize |
E23138
|
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: Marconi Prize | Statement: [Martin Hellman, awardReceived, Marconi Prize]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Marconi Prize Context triple: [Martin Hellman, awardReceived, Marconi Prize]
-
A.
Marconi Prize
chosen
The Marconi Prize is a prestigious international award that honors significant contributions to communications and information technology.
-
B.
Edison Medal
The Edison Medal is a prestigious electrical engineering award presented by the IEEE for outstanding contributions to the field of electrical science and engineering.
-
C.
IEEE Alexander Graham Bell Medal
The IEEE Alexander Graham Bell Medal is a prestigious IEEE award honoring exceptional contributions to telecommunications and communication sciences and engineering.
-
D.
Hoover Medal
The Hoover Medal is an American engineering award that honors outstanding civic and humanitarian service by engineers.
-
E.
Sylvester Medal
The Sylvester Medal is a prestigious mathematics award presented by the Royal Society in recognition of outstanding contributions to the field.
- 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_69a24d1a97dc819094e6c021fe9b05a7 |
completed | Feb. 28, 2026, 2:04 a.m. |
| NER | Named-entity recognition | batch_69a24fd28e988190bde699647ee5b16b |
completed | Feb. 28, 2026, 2:15 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a32bc28a008190a63df84b5ab90679 |
completed | Feb. 28, 2026, 5:54 p.m. |
Created at: Feb. 28, 2026, 2:07 a.m.