Triple
T8801219
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cate Blanchett as Meredith Logue |
E209411
|
entity |
| Predicate | socialStatusOfCharacter |
P62272
|
FINISHED |
| Object | wealthy socialite |
—
|
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: wealthy socialite | Statement: [Cate Blanchett as Meredith Logue, socialStatusOfCharacter, wealthy socialite]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: socialStatusOfCharacter Context triple: [Cate Blanchett as Meredith Logue, socialStatusOfCharacter, wealthy socialite]
-
A.
protagonistSocialStatus
Indicates the social standing or class position held by the story’s main character in relation to others in their society.
-
B.
possibleSocialStatus
Indicates that one entity may hold, attain, or be associated with a particular social status in relation to another context or system.
-
C.
subjectSocialStatus
chosen
Indicates the social standing or rank that the subject holds within a society or group.
-
D.
leadCharacterStatus
Indicates the role or condition of an entity when it serves as the primary or central character in a narrative or context.
-
E.
characterStatusInStory
Indicates the role or condition a character holds within the context of a specific story or narrative.
- 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_69ca836320e48190b5cf585b90a322c4 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc5fb9c5c88190881b069e1face10c |
completed | March 31, 2026, 11:58 p.m. |
| PD | Predicate disambiguation | batch_69cc5c1f28ec8190a34311cb412920c2 |
completed | March 31, 2026, 11:43 p.m. |
Created at: March 30, 2026, 6:44 p.m.