Triple
T15909850
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Goodreads Choice Award for Humor |
E385816
|
entity |
| Predicate | awardProcessStep |
P121016
|
FINISHED |
| Object | nomination round |
—
|
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: nomination round | Statement: [Goodreads Choice Award for Humor, awardProcessStep, nomination round]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: awardProcessStep Context triple: [Goodreads Choice Award for Humor, awardProcessStep, nomination round]
-
A.
awardProcess
Indicates the process by which an award is determined, selected, and conferred from a granting entity to a recipient.
-
B.
awardForPhase
Indicates that an award is given specifically in connection with, or as a result of, a particular phase of a process or project.
-
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.
award administered
Indicates that a particular organization or body is responsible for managing, overseeing, and conferring a specific award.
-
E.
awardSelectionBy
Indicates that an award or honor was chosen or determined by a particular person, group, or organization.
- 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_69d86da686e4819097cbf3b1fc2d881d |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e17d4d08f481909f38b75e3f42d9ab |
completed | April 17, 2026, 12:22 a.m. |
| PD | Predicate disambiguation | batch_69e142ca3b208190946c3aa4c1e6087c |
completed | April 16, 2026, 8:12 p.m. |
| PDg | Predicate description generation | batch_69e17d48cc9c8190b03fd07ae2e9dfd8 |
completed | April 17, 2026, 12:22 a.m. |
Created at: April 10, 2026, 4:52 a.m.