Triple
T11641436
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Montparnasse Cemetery |
E276669
|
entity |
| Predicate | burialPlaceOf |
P196
|
FINISHED |
| Object | Brassaï |
E227786
|
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: Brassaï | Statement: [Montparnasse Cemetery, burialPlaceOf, Brassaï]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Brassaï Context triple: [Montparnasse Cemetery, burialPlaceOf, Brassaï]
-
A.
Brassaï
chosen
Brassaï was a Hungarian–French photographer, sculptor, and writer best known for his evocative black-and-white images of Parisian nightlife in the 1930s.
-
B.
Henri Cartier-Bresson
Henri Cartier-Bresson was a pioneering French photographer and photojournalist, celebrated as a master of candid street photography and the concept of the “decisive moment.”
-
C.
Eugène Atget
Eugène Atget was a pioneering French photographer renowned for his atmospheric, documentary images of early 20th-century Paris that profoundly shaped modern photography.
-
D.
Louis Hersent
Louis Hersent was a 19th-century French painter known for his historical and religious subjects and his role in the academic art tradition.
-
E.
Paul Bracq
Paul Bracq is a renowned French automotive designer best known for his influential work on classic Mercedes-Benz, BMW, and Peugeot models.
- 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_69d6aafbb3c081908a9cdb4ecb8d981d |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a260ab488190ab1c00d9850f3096 |
completed | April 10, 2026, 7:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ee87deb3888190842bd61efd7b3989 |
completed | April 26, 2026, 9:47 p.m. |
Created at: April 8, 2026, 9:39 p.m.