Triple
T8142807
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Balcony (figure in Manet’s painting) |
E190136
|
entity |
| Predicate | hasColorDominanceInCostume |
P80914
|
FINISHED |
| Object | white |
—
|
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: white | Statement: [The Balcony (figure in Manet’s painting), hasColorDominanceInCostume, white]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasColorDominanceInCostume Context triple: [The Balcony (figure in Manet’s painting), hasColorDominanceInCostume, white]
-
A.
colorAssociatedWithCostume
Indicates that a particular color is thematically or typically linked to a specific costume.
-
B.
haveDistinctCostume
Indicates that the entities each possess a costume that is different from the others’ costumes.
-
C.
hasApparentColor
Indicates that an entity is perceived to have a particular color under given viewing or observational conditions.
-
D.
isInColor
Indicates that one entity exists, appears, or is represented using a particular color specified by the other entity.
-
E.
hasColorPlay
Indicates a relationship where something exhibits or incorporates playful or varied use of color.
- F. None of above. chosen
Provenance (4 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_69ca82bd9900819099477cdc2eb4244f |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb4443a3748190bbae79f1d673c03d |
completed | March 31, 2026, 3:49 a.m. |
| PD | Predicate disambiguation | batch_69cb369c0d0481908762c488d7f77e74 |
completed | March 31, 2026, 2:51 a.m. |
| PDg | Predicate description generation | batch_69cb39d20e78819092ea9e04357be008 |
completed | March 31, 2026, 3:04 a.m. |
Created at: March 30, 2026, 5:36 p.m.