Triple
T16038732
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Carolyn Burnham |
E389034
|
entity |
| Predicate | awardContextPortrayal |
P36868
|
FINISHED |
| Object | Annette Bening Academy Award nomination for Best Actress |
—
|
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: Annette Bening Academy Award nomination for Best Actress | Statement: [Carolyn Burnham, awardContextPortrayal, Annette Bening Academy Award nomination for Best Actress]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: awardContextPortrayal Context triple: [Carolyn Burnham, awardContextPortrayal, Annette Bening Academy Award nomination for Best Actress]
-
A.
awardContext
Indicates the situational or circumstantial context in which an award is given or received.
-
B.
awardRecognitionForPortrayal
chosen
Indicates that recognition or an award is given to someone specifically for their performance or depiction of a particular role or subject.
-
C.
awardAspect
Indicates that one entity specifies a particular characteristic, category, or facet of an award associated with another entity.
-
D.
awardFor
Indicates that something is given or granted as recognition or a prize for a particular achievement, work, or contribution.
-
E.
awardScope
Indicates the extent, domain, or coverage that an award applies to within a given context.
- 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_69d86dada3808190825d5f80d72fbe88 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e1ff63edb0819092cbb671967bbdcd |
completed | April 17, 2026, 9:37 a.m. |
| PD | Predicate disambiguation | batch_69e1826f34c081908005bb736f1c485d |
completed | April 17, 2026, 12:44 a.m. |
Created at: April 10, 2026, 4:56 a.m.