Triple
T10192715
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Firmin Didot |
E238077
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Firmin |
E238077
|
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: Firmin | Statement: [Firmin Didot, givenName, Firmin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Firmin Context triple: [Firmin Didot, givenName, Firmin]
-
A.
Firmin
chosen
Firmin is a French given name notably borne by Firmin Didot, a renowned printer, typefounder, and member of the influential Didot family in the history of typography.
-
B.
Étienne
Étienne is the given first name of the French Symbolist poet Stéphane Mallarmé.
-
C.
Firmin Bourgeois
Firmin Bourgeois was a 19th-century French architect best known for designing the Musée de l’Orangerie in Paris.
-
D.
Félix Tholomyès
Félix Tholomyès is a minor character in Victor Hugo's novel "Les Misérables," known as the carefree student who fathers Cosette and then abandons her mother, Fantine.
-
E.
Donatien
Donatien is the given name of Jean-Baptiste Donatien de Vimeur, comte de Rochambeau, a prominent French general who played a key role in the American Revolutionary War.
- 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_69ca84de1b208190bf17bb305b002605 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cdedc4fb808190aae2e4b84be96f83 |
completed | April 2, 2026, 4:17 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d6a7d465bc8190b419de253616b0fd |
completed | April 8, 2026, 7:09 p.m. |
Created at: March 30, 2026, 9:13 p.m.