Triple
T30941830
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Carl von Ossietzky Medal |
E788282
|
entity |
| Predicate | namedAfterNotableAward |
P130939
|
FINISHED |
| Object | Nobel Peace Prize |
—
|
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: Nobel Peace Prize | Statement: [Carl von Ossietzky Medal, namedAfterNotableAward, Nobel Peace Prize]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: namedAfterNotableAward Context triple: [Carl von Ossietzky Medal, namedAfterNotableAward, Nobel Peace Prize]
-
A.
notableAwardWon
Indicates that an entity has received a specific notable award as a winner.
-
B.
namedAwardAfter
chosen
Indicates that an award has been given a name in honor of or derived from a particular person, group, or entity.
-
C.
notableAwardedFor
Indicates that an award is notable specifically for being given in recognition of a particular work, achievement, or contribution.
-
D.
notableAwardOrHonor
Indicates that an entity has received a specific notable award or honor.
-
E.
notableAwardRecognition
Indicates that an entity has received or been formally recognized with a notable award or honor.
- F. None of above.
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_69f224c180f88190ad177372ee02b7e2 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f7221dc9a88190bb8194fcc29c42bc |
completed | May 3, 2026, 10:23 a.m. |
| PD | Predicate disambiguation | batch_69f72153a9188190b02adc84e1be4af8 |
completed | May 3, 2026, 10:20 a.m. |
Created at: April 29, 2026, 8:53 p.m.