Triple
T7362371
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kizzy (Roots) |
E169780
|
entity |
| Predicate | portrayalRecognizedFor |
P36868
|
FINISHED |
| Object | emotional depth |
—
|
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: emotional depth | Statement: [Kizzy (Roots), portrayalRecognizedFor, emotional depth]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: portrayalRecognizedFor Context triple: [Kizzy (Roots), portrayalRecognizedFor, emotional depth]
-
A.
portrayalRecognition
Indicates that one entity recognizes or identifies another entity as a portrayal or representation of a particular subject or character.
-
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.
notableAwardRecognition
Indicates that an entity has received or been formally recognized with a notable award or honor.
-
D.
portrayalReceived
Indicates that an entity has been depicted or represented by another entity, such as through an image, performance, or description.
-
E.
portrayalFeature
Indicates that one entity serves as a characteristic, aspect, or attribute highlighted in the depiction or representation of another entity.
- 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_69c68a5ade988190885b7175f63b7534 |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f26d6d6081909c7272a9ccae0d97 |
completed | March 27, 2026, 9:11 p.m. |
| PD | Predicate disambiguation | batch_69c6f02d36108190bcb34a95e6a30bd7 |
completed | March 27, 2026, 9:01 p.m. |
Created at: March 27, 2026, 3:06 p.m.