Triple
T14182664
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Let Us Descend |
E351493
|
entity |
| Predicate | authorAwardsContext |
P25299
|
FINISHED |
| Object | written by a two-time National Book Award winner |
—
|
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: written by a two-time National Book Award winner | Statement: [Let Us Descend, authorAwardsContext, written by a two-time National Book Award winner]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: authorAwardsContext Context triple: [Let Us Descend, authorAwardsContext, written by a two-time National Book Award winner]
-
A.
authorAwardedForBodyOfWork
Indicates that an author received an award recognizing their entire body of work rather than a single specific piece.
-
B.
awardedAuthor
chosen
Indicates that an author has received an award or recognition.
-
C.
authorAwardedYear
Indicates the year in which an author received a particular award.
-
D.
notableAwardOfAuthor
Indicates that a particular award is a significant or distinguished honor received by the author.
-
E.
recipientOfAward
Indicates that an entity has received or been granted 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_69d8278834a08190b0f1784e58d7b99c |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de61cc0a848190b660095972b1223b |
completed | April 14, 2026, 3:48 p.m. |
| PD | Predicate disambiguation | batch_69de05baed64819096590e5618a3a8ed |
completed | April 14, 2026, 9:15 a.m. |
Created at: April 10, 2026, 1:02 a.m.