Triple
T32739111
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Clementine Kruczynski |
E837170
|
entity |
| Predicate | portrayalReceivedRecognition |
P109753
|
FINISHED |
| Object | Kate Winslet received an Academy Award nomination for this role |
—
|
NE NERFINISHED |
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: Kate Winslet received an Academy Award nomination for this role | Statement: [Clementine Kruczynski, portrayalReceivedRecognition, Kate Winslet received an Academy Award nomination for this role]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: portrayalReceivedRecognition Context triple: [Clementine Kruczynski, portrayalReceivedRecognition, Kate Winslet received an Academy Award nomination for this role]
-
A.
portrayalReceived
Indicates that an entity has been depicted or represented by another entity, such as through an image, performance, or description.
-
B.
portrayalRecognition
Indicates that one entity recognizes or identifies another entity as a portrayal or representation of a particular subject or character.
-
C.
portrayalReception
Indicates how a particular portrayal of someone or something is received, evaluated, or responded to by an audience or observers.
-
D.
isARecognitionOf
Indicates that one entity serves as an acknowledgment, award, or formal appreciation of another entity’s qualities, actions, or achievements.
-
E.
wasRecognizedIn
chosen
Indicates that an entity received acknowledgment, credit, or an award within a specified context, event, or time frame.
- 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_69f34936e1748190b797e406e4e9293a |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69fe8ddf70e48190a917eb9e8f7b6966 |
completed | May 9, 2026, 1:29 a.m. |
| PD | Predicate disambiguation | batch_69fe87ef94dc81909bb00ec8d6de9bcd |
completed | May 9, 2026, 1:03 a.m. |
Created at: May 1, 2026, 1:12 a.m.