Triple
T37836999
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Château des Milandes |
E943364
|
entity |
| Predicate | hasExhibitionAbout |
P41854
|
FINISHED |
| Object | Josephine Baker |
—
|
NE NERFINISHED |
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: Josephine Baker | Statement: [Château des Milandes, hasExhibitionAbout, Josephine Baker]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasExhibitionAbout Context triple: [Château des Milandes, hasExhibitionAbout, Josephine Baker]
-
A.
hasExhibitionsAbout
chosen
Indicates that one entity organizes or presents exhibitions whose subject matter concerns another entity.
-
B.
hasExhibition
Indicates that an entity organizes, hosts, or presents a particular exhibition.
-
C.
hasExhibitedAt
Indicates that an entity has displayed or presented its work at a particular event, venue, or exhibition.
-
D.
hasExhibitionLabel
Indicates that an entity is associated with a specific exhibition label used for display or interpretive purposes in an exhibition context.
-
E.
hasExhibitionRole
Indicates that an entity holds a specific role or function within the context of an exhibition.
- 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_69f76eeb0f7081908d6d3adbc469889c |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69fd6dbd1b648190b1a0b391c03aebc5 |
completed | May 8, 2026, 4:59 a.m. |
| PD | Predicate disambiguation | batch_69fd6a9020548190bbfa845360ac85fb |
completed | May 8, 2026, 4:46 a.m. |
Created at: May 3, 2026, 4:19 p.m.