Triple
T4174112
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Joseph Vernet |
E86434
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Claude-Joseph |
E152402
|
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: Claude-Joseph | Statement: [Joseph Vernet, givenName, Claude-Joseph]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Claude-Joseph Context triple: [Joseph Vernet, givenName, Claude-Joseph]
-
A.
Claude Joseph
chosen
Claude Joseph is the given name of Claude Joseph Rouget de Lisle, the French army officer and composer best known for writing "La Marseillaise," the French national anthem.
-
B.
Claude-Louis
Claude-Louis is the French engineer and physicist best known for formulating the Navier–Stokes equations in fluid mechanics.
-
C.
Jacques-François
Jacques-François is the given name of Jacques-François Menou, a French general who served during the French Revolutionary period and in Napoleon’s Egyptian campaign.
-
D.
Jacques François
Jacques François was a French actor known for his supporting roles in mid-20th-century European and American films.
-
E.
Jean-Antoine
Jean-Antoine is a masculine French given name historically borne by notable figures such as artists, explorers, and intellectuals.
- 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_69aed93de98c8190ad838ce507b77c8a |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69af02e7d30081909774a3e2a2132d6a |
completed | March 9, 2026, 5:27 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b57f5428a0819082aaea8950a7c039 |
completed | March 14, 2026, 3:31 p.m. |
Created at: March 9, 2026, 3:45 p.m.