Triple
T26352002
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Best Action Series |
E662925
|
entity |
| Predicate | firstAwardedAsPartOf |
P196240
|
FINISHED |
| Object | inaugural Critics' Choice Super Awards ceremony |
—
|
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: inaugural Critics' Choice Super Awards ceremony | Statement: [Best Action Series, firstAwardedAsPartOf, inaugural Critics' Choice Super Awards ceremony]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstAwardedAsPartOf Context triple: [Best Action Series, firstAwardedAsPartOf, inaugural Critics' Choice Super Awards ceremony]
-
A.
firstAwarded
Indicates the time or occasion when an award, honor, or recognition was given for the very first time.
-
B.
formerlyAwardedIn
Indicates that an award or recognition was previously given in a particular context, time, or location but is no longer awarded there.
-
C.
initialAwardYear
Indicates the year in which an entity first received a particular award.
-
D.
firstAwardedInSeries
Indicates that an award instance is the first time that particular award was given within a specific series or sequence of awards.
-
E.
awardedForFirstTimeTo
Indicates that an entity receives an award or recognition for the very first time.
- 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_69ee8130fc44819094e5ab1da201cd7b |
completed | April 26, 2026, 9:18 p.m. |
| NER | Named-entity recognition | batch_69fe189fec148190aeef51b417ba15b0 |
completed | May 8, 2026, 5:08 p.m. |
| PD | Predicate disambiguation | batch_69fe17285b0881908de7569d8dbd20bd |
completed | May 8, 2026, 5:02 p.m. |
| PDg | Predicate description generation | batch_69fe189f2ea48190b8c4718f1353970e |
completed | May 8, 2026, 5:08 p.m. |
Created at: April 26, 2026, 10:46 p.m.