Triple
T16516289
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Burroughs Medal |
E401192
|
entity |
| Predicate | awardedForFormat |
P20762
|
FINISHED |
| Object | book |
—
|
LITERAL 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: book | Statement: [Burroughs Medal, awardedForFormat, book]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: awardedForFormat Context triple: [Burroughs Medal, awardedForFormat, book]
-
A.
hasAwardedFormat
chosen
Indicates that one entity has granted or assigned a particular award format or type to another entity.
-
B.
presentedInFormat
Indicates that something is expressed, delivered, or made available using a particular format or representation.
-
C.
awardedForBroadcastIn
Indicates that an award was given specifically for the broadcast of something within a particular region, channel, or medium.
-
D.
namedForAward
Indicates that an entity is named in honor of a particular award.
-
E.
holderAwardedFor
Indicates that an award holder received the award specifically in recognition of, or as a result of, a particular work, achievement, or contribution.
- 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_69d883838abc8190bc79cb2d41733ce2 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e32e7c7e588190acbcc2b807a98909 |
completed | April 18, 2026, 7:10 a.m. |
| PD | Predicate disambiguation | batch_69e296995d388190b88ebe189dce890d |
completed | April 17, 2026, 8:22 p.m. |
Created at: April 10, 2026, 5:14 a.m.