Triple
T203564
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | National Book Critics Circle Award for Biography (finalist) |
E4559
|
entity |
| Predicate | hasAwardedDiscipline |
P10228
|
FINISHED |
| Object | nonfiction |
—
|
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: nonfiction | Statement: [National Book Critics Circle Award for Biography (finalist), hasAwardedDiscipline, nonfiction]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAwardedDiscipline Context triple: [National Book Critics Circle Award for Biography (finalist), hasAwardedDiscipline, nonfiction]
-
A.
hasAwarded
Indicates that one entity has given or conferred an award to another entity.
-
B.
awardedDuring
Indicates that an award or honor was given to an entity within a specified time period or event.
-
C.
awardStatus
Indicates the current state or outcome of an award in relation to an entity, such as whether it has been granted, pending, rejected, or completed.
-
D.
supportsDiscipline
Indicates that one entity provides assistance, resources, or endorsement that helps sustain or advance a particular discipline.
-
E.
lastAwarded
Indicates the most recent time or instance at which an entity received a particular award.
- F. None of above. chosen
Provenance (4 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_69a25737567c81908f9c505300239181 |
completed | Feb. 28, 2026, 2:47 a.m. |
| NER | Named-entity recognition | batch_69a25f46b4f081909e5ee3718109a71f |
completed | Feb. 28, 2026, 3:21 a.m. |
| PD | Predicate disambiguation | batch_69a25b4b42ec8190bef16bbbdd30a742 |
completed | Feb. 28, 2026, 3:04 a.m. |
| PDg | Predicate description generation | batch_69a25f4602c081909e89de233cbc5670 |
completed | Feb. 28, 2026, 3:21 a.m. |
Created at: Feb. 28, 2026, 2:51 a.m.