Triple
T35686032
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jaroslav Seifert Prize |
E1031149
|
entity |
| Predicate | namedAfterAwardedTo |
P76262
|
FINISHED |
| Object | Nobel Prize in Literature laureate Jaroslav Seifert |
—
|
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 Prize in Literature laureate Jaroslav Seifert | Statement: [Jaroslav Seifert Prize, namedAfterAwardedTo, Nobel Prize in Literature laureate Jaroslav Seifert]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: namedAfterAwardedTo Context triple: [Jaroslav Seifert Prize, namedAfterAwardedTo, Nobel Prize in Literature laureate Jaroslav Seifert]
-
A.
namedAwardAfter
Indicates that an award has been given a name in honor of or derived from a particular person, group, or entity.
-
B.
namedAfterAwardLaureateOf
chosen
Indicates that one entity is named after a person who is a laureate (recipient) of a particular award.
-
C.
namedAfterAwardYear
Indicates that one entity is named after the year in which a particular award was given or received.
-
D.
holderAwardedFor
Indicates that an award holder received the award specifically in recognition of, or as a result of, a particular work, achievement, or contribution.
-
E.
namedForAward
Indicates that an entity is named in honor of a particular award.
- 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_69f76e0bb6608190ad3a1880be54a17d |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69fd35d108908190b79b1e8e6bbd62aa |
completed | May 8, 2026, 1:01 a.m. |
| PD | Predicate disambiguation | batch_69fd34cb46108190b43c3b7f67ec4cd4 |
completed | May 8, 2026, 12:56 a.m. |
Created at: May 3, 2026, 4:05 p.m.