Triple
T8240867
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cimetière de Passy |
E192529
|
entity |
| Predicate | burialPlaceOf |
P196
|
FINISHED |
| Object | Marcel Dassault |
E75666
|
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: Marcel Dassault | Statement: [Cimetière de Passy, burialPlaceOf, Marcel Dassault]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Marcel Dassault Context triple: [Cimetière de Passy, burialPlaceOf, Marcel Dassault]
-
A.
Marcel Dassault
chosen
Marcel Dassault was a prominent French aircraft industrialist, engineer, and politician who founded the Dassault aviation empire.
-
B.
François Delarozière
François Delarozière is a French artist and designer renowned for his monumental mechanical sculptures and fantastical urban installations.
-
C.
Claude Dornier
Claude Dornier was a pioneering German aircraft designer and industrialist best known for creating innovative flying boats and military aircraft in the early and mid-20th century.
-
D.
François Hanriot
François Hanriot was a radical French revolutionary leader and commander of the National Guard in Paris during the Reign of Terror.
-
E.
Armand Peugeot
Armand Peugeot was a French industrialist and pioneer of the automobile industry who transformed his family’s metalworking business into the Peugeot car manufacturing company.
- 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_69ca82dc8f148190a2c75a98501a7b91 |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb783e13648190abf34eb8c244ea17 |
completed | March 31, 2026, 7:31 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cd351871ac81909f8e4a72a6b99ac3 |
completed | April 1, 2026, 3:09 p.m. |
Created at: March 30, 2026, 5:47 p.m.