Triple
T16907401
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Museum Berggruen |
E424597
|
entity |
| Predicate | hasCollection |
P426
|
FINISHED |
| Object | Henri Laurens |
E846455
|
NE 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: Henri Laurens | Statement: [Museum Berggruen, hasCollection, Henri Laurens]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Henri Laurens Context triple: [Museum Berggruen, hasCollection, Henri Laurens]
-
A.
Henri Laurens
chosen
Henri Laurens was a French sculptor and illustrator associated with the Cubist movement, known for his innovative stone and bronze works featuring simplified, volumetric human forms.
-
B.
Henri Chrétien
Henri Chrétien was a French astronomer and optical engineer best known for co-developing the Ritchey–Chrétien telescope design and pioneering wide-angle optical systems.
-
C.
Henri Lebasque
Henri Lebasque was a French post-impressionist painter known for his luminous use of color and intimate domestic and landscape scenes.
-
D.
Henri Martin
Henri Martin was a French Post-Impressionist painter renowned for his luminous pointillist landscapes and large-scale decorative murals.
-
E.
Henri de Castries
Henri de Castries is a French businessman best known for serving as chairman and CEO of the global insurance group AXA.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d889da3e8c8190a2b118f383f0beac |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e3ca39f9b08190b15106c6caf895ec |
completed | April 18, 2026, 6:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00c7b98d5c8190b61de47b246549e3 |
completed | May 10, 2026, 6 p.m. |
Created at: April 10, 2026, 5:30 a.m.