Triple
T5807365
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Raoul Dufy |
E128777
|
entity |
| Predicate | workLocation |
P7
|
FINISHED |
| Object | Le Havre |
E14638
|
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: Le Havre | Statement: [Raoul Dufy, workLocation, Le Havre]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Le Havre Context triple: [Raoul Dufy, workLocation, Le Havre]
-
A.
Le Havre
chosen
Le Havre is a major French port city in Normandy, known as one of the country’s principal maritime and commercial gateways.
-
B.
Grand Illusion
Grand Illusion is a song by Styx known for its theatrical rock style and themes of disillusionment and perception.
-
C.
The Lighthouse at Honfleur
The Lighthouse at Honfleur is an early pointillist seascape painting by Georges Seurat depicting the harbor and lighthouse of the French coastal town of Honfleur.
-
D.
Le Pays
Le Pays is a French-language newspaper historically linked to the socialist Parti rouge in Quebec, serving as a platform for its political ideas and debates.
-
E.
Logorama
Logorama is a 2009 French animated short film that satirically depicts a world made entirely of corporate logos and mascots.
- 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_69c0084788848190bcf71f6bc5d71597 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c02b17417081908779741b9bfbb720 |
completed | March 22, 2026, 5:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c0a17f77fc8190b2ad6f6c45d96e43 |
completed | March 23, 2026, 2:12 a.m. |
Created at: March 22, 2026, 3:52 p.m.