Triple
T11324631
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ducos |
E268176
|
entity |
| Predicate | hasVariant |
P455
|
FINISHED |
| Object | Ducos du Hauron |
E919214
|
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: Ducos du Hauron | Statement: [Ducos, hasVariant, Ducos du Hauron]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ducos du Hauron Context triple: [Ducos, hasVariant, Ducos du Hauron]
-
A.
Ducos du Hauron
chosen
Ducos du Hauron is the family name of Louis Ducos du Hauron, a pioneering French inventor and early innovator in color photography.
-
B.
Crassier
Crassier is a small Swiss municipality in the canton of Vaud, located near the French border in the Nyon District.
-
C.
Tournelle
Tournelle refers to the historical riverside district and former tower area in Paris that gave its name to the Pont de la Tournelle.
-
D.
Drouet
Drouet is a French surname most notably associated with Jean-Baptiste Drouet, the postmaster who helped identify and arrest King Louis XVI during his attempted flight in 1791.
-
E.
Vautrin
Vautrin is a cunning, charismatic criminal mastermind and recurring antihero in Honoré de Balzac’s La Comédie humaine, known for his manipulative intelligence and complex moral ambiguity.
- 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_69d6aacb1f0881908c84a349fd1be047 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e9e122e48190b3f890de8d561480 |
completed | April 9, 2026, 6:03 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e543055b588190a417b3d50ade989a |
completed | April 19, 2026, 9:03 p.m. |
Created at: April 8, 2026, 9:32 p.m.