Triple
T23898119
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cassie Bowden |
E600960
|
entity |
| Predicate | awardContextForPortrayal |
P36868
|
FINISHED |
| Object | portrayal by Kaley Cuoco received critical acclaim |
—
|
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: portrayal by Kaley Cuoco received critical acclaim | Statement: [Cassie Bowden, awardContextForPortrayal, portrayal by Kaley Cuoco received critical acclaim]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: awardContextForPortrayal Context triple: [Cassie Bowden, awardContextForPortrayal, portrayal by Kaley Cuoco received critical acclaim]
-
A.
awardRecognitionForPortrayal
chosen
Indicates that recognition or an award is given to someone specifically for their performance or depiction of a particular role or subject.
-
B.
awardFor
Indicates that something is given or granted as recognition or a prize for a particular achievement, work, or contribution.
-
C.
awardCharacter
Indicates that an award or honor is given to a particular character.
-
D.
awardContext
Indicates the situational or circumstantial context in which an award is given or received.
-
E.
awardInStoryline
Indicates that an award is given to a character or entity within the context of a specific narrative or storyline.
- 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_69e295341ac0819080647f2908af793c |
completed | April 17, 2026, 8:16 p.m. |
| NER | Named-entity recognition | batch_69f1cddb3fdc819096dc84a1774d9bee |
completed | April 29, 2026, 9:22 a.m. |
| PD | Predicate disambiguation | batch_69f1614e24b48190a1c8fb5b7c75ee0f |
completed | April 29, 2026, 1:39 a.m. |
Created at: April 17, 2026, 8:25 p.m.