Triple
T8142802
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Balcony (figure in Manet’s painting) |
E190136
|
entity |
| Predicate | firstExhibitedYear |
P33014
|
FINISHED |
| Object | 1869 |
—
|
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: 1869 | Statement: [The Balcony (figure in Manet’s painting), firstExhibitedYear, 1869]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstExhibitedYear Context triple: [The Balcony (figure in Manet’s painting), firstExhibitedYear, 1869]
-
A.
firstExhibited
Indicates the event or context in which something was publicly displayed or presented for the first time.
-
B.
yearExhibited
chosen
Indicates the specific year in which an entity (such as an artwork, object, or performance) was publicly exhibited or displayed.
-
C.
firstInscriptionYear
Indicates the year in which an entity was first inscribed, recorded, or officially entered into a relevant register or list.
-
D.
firstCelebratedInYear
Indicates the year in which something (such as an event, holiday, or celebration) was first observed or celebrated.
-
E.
firstSerializationYear
Indicates the year in which an entity (such as a work or series) was first serialized or began its initial serialized publication.
- 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_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. |
Created at: March 30, 2026, 5:36 p.m.