Triple
T35308978
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tenenbaum family |
E1019712
|
entity |
| Predicate | visualStyleAssociatedWith |
P61564
|
FINISHED |
| Object | Wes Anderson’s symmetrical compositions |
—
|
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: Wes Anderson’s symmetrical compositions | Statement: [Tenenbaum family, visualStyleAssociatedWith, Wes Anderson’s symmetrical compositions]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: visualStyleAssociatedWith Context triple: [Tenenbaum family, visualStyleAssociatedWith, Wes Anderson’s symmetrical compositions]
-
A.
typicalVisualStyle
chosen
Indicates the characteristic or commonly observed visual appearance or aesthetic style associated with an entity.
-
B.
structuralStyle
Indicates the architectural or design style that characterizes the structure or form of an entity.
-
C.
styleVariants
Indicates that an entity has alternative stylistic forms or versions related to it.
-
D.
stylingFeature
Indicates a visual or design-related characteristic applied to an entity, such as formatting, layout, or aesthetic treatment.
-
E.
stylePair
Indicates that two entities are associated through a stylistic relationship, such as matching, complementary, or coordinated styles.
- 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_69f76de8b4c48190ae504b86185c474c |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69f79533b88c8190934ec4cb21770e24 |
completed | May 3, 2026, 6:34 p.m. |
| PD | Predicate disambiguation | batch_69f79104f5b48190a496cdffde8472da |
completed | May 3, 2026, 6:16 p.m. |
Created at: May 3, 2026, 4:03 p.m.