Triple
T23464253
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Boltzmann Medal |
E569061
|
entity |
| Predicate | hasRecipient |
P108
|
FINISHED |
| Object | John Cardy |
—
|
NE NERFINISHED |
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: John Cardy | Statement: [Boltzmann Medal, hasRecipient, John Cardy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: John Cardy Context triple: [Boltzmann Medal, hasRecipient, John Cardy]
-
A.
John Cardy
chosen
John Cardy is a British theoretical physicist renowned for his influential work in statistical mechanics and conformal field theory.
-
B.
Stuart Card
Stuart Card is a pioneering researcher in human-computer interaction and cognitive psychology, known for foundational work on user interface design and models of human performance with computers.
-
C.
Garth Fisher
Garth Fisher is a prominent American plastic surgeon best known for his appearances on the reality TV show "Extreme Makeover."
-
D.
Daren Ackwood
Daren Ackwood is a fictional character portrayed by actor Daren Kagasoff, likely in a television or film production.
-
E.
James Card
James Card was an influential American film archivist and curator, best known for his pioneering work in film preservation and his role in inspiring major film culture institutions such as the Telluride Film Festival.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e2458ebd808190b3298163132cfb0b |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f1a69f0a54819084c19c248a572253 |
completed | April 29, 2026, 6:35 a.m. |
Created at: April 17, 2026, 5:54 p.m.