Triple
T548664
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Yellow House |
E12787
|
entity |
| Predicate | depicts artist’s residence |
P15073
|
FINISHED |
| Object | Van Gogh’s rented house in Arles |
—
|
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: Van Gogh’s rented house in Arles | Statement: [The Yellow House, depicts artist’s residence, Van Gogh’s rented house in Arles]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: depicts artist’s residence Context triple: [The Yellow House, depicts artist’s residence, Van Gogh’s rented house in Arles]
-
A.
depictsResidence
chosen
Indicates that one entity visually represents or portrays the place where another entity lives or resides.
-
B.
artistResidenceAtTimeOfWork
Indicates the place where an artist was living at the time a particular work was created.
-
C.
residence
Indicates that one entity lives at, is based in, or habitually occupies the location represented by the other entity.
-
D.
depicts
Indicates that one entity visually represents, portrays, or shows another entity.
-
E.
depictsPerson
Indicates that one entity visually represents or portrays a specific person.
- 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_69a49334226c81908b0ea1689ef6aa3f |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a49900895c819092a131c185a758bf |
completed | March 1, 2026, 7:52 p.m. |
| PD | Predicate disambiguation | batch_69a494b957988190bc269e372df2f0b2 |
completed | March 1, 2026, 7:34 p.m. |
Created at: March 1, 2026, 7:32 p.m.