Triple
T3595380
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jean-Antoine Houdon |
E76125
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Jean-Antoine |
E282527
|
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: Jean-Antoine | Statement: [Jean-Antoine Houdon, givenName, Jean-Antoine]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jean-Antoine Context triple: [Jean-Antoine Houdon, givenName, Jean-Antoine]
-
A.
Jean-Antoine
chosen
Jean-Antoine is a masculine French given name historically borne by notable figures such as artists, explorers, and intellectuals.
-
B.
Antoine-Jean
Antoine-Jean is a French given name most notably borne by the Romantic painter Antoine-Jean Gros.
-
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.
Étienne-Louis
Étienne-Louis is a French given name most famously borne by the visionary neoclassical architect Étienne-Louis Boullée.
- 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_69ad85d8042081908af94a04c410dec0 |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc15f41cc819085b3e897d823757d |
completed | March 8, 2026, 6:35 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b44efeacf481908dd9a26f348f9977 |
completed | March 13, 2026, 5:53 p.m. |
Created at: March 8, 2026, 3:22 p.m.