Triple
T10953288
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | François Denis Tronchet |
E258776
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Tronchet |
E258776
|
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: Tronchet | Statement: [François Denis Tronchet, familyName, Tronchet]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tronchet Context triple: [François Denis Tronchet, familyName, Tronchet]
-
A.
Tronchet
chosen
Tronchet is a French surname most notably borne by François Denis Tronchet, an influential 18th–19th century jurist and key figure in drafting the Napoleonic Civil Code.
-
B.
Bitchois
Bitchois is the French demonym for inhabitants of the town of Bitche in northeastern France.
-
C.
Truzzi
Truzzi is the surname of Marcello Truzzi, a noted sociologist and co-founder of the Committee for the Scientific Investigation of Claims of the Paranormal (CSICOP).
-
D.
Ropscha
Ropscha is a rural locality in Leningrad Oblast, Russia, historically known for its imperial estate associated with the Russian royal family.
-
E.
Trouessart
Trouessart is a French surname most notably borne by zoologist Oskar Trouessart, known for his work in mammalogy and taxonomy.
- 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_69d6aa88500c819097d7032ca578e74f |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d770fe4cfc81909032296c31e077f0 |
completed | April 9, 2026, 9:27 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e23c64089c8190a9c0aa63d7e7dc64 |
completed | April 17, 2026, 1:57 p.m. |
Created at: April 8, 2026, 9:23 p.m.