Triple
T18313706
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Émile Maupas |
E438697
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Maupas |
—
|
NE NERFINISHED |
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: Maupas | Statement: [Émile Maupas, familyName, Maupas]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Maupas Context triple: [Émile Maupas, familyName, Maupas]
-
A.
Maupas
Maupas is a small commune in the Gers department of southwestern France, situated within the arrondissement of Condom.
-
B.
Maupas
chosen
Maupas was a biologist who formally described and named the nematode genus Caenorhabditis.
-
C.
Dainava
Dainava is a historical region in the territory of present-day Lithuania and northeastern Poland, traditionally associated with the Baltic Yotvingian and Lithuanian tribes.
-
D.
Rausu
Rausu is a small coastal town on Japan’s Shiretoko Peninsula, known for its rich marine wildlife, drift ice sightseeing, and access to the remote natural landscapes of eastern Hokkaido.
-
E.
Prauliena
Prauliena is a village and administrative unit located within Madona Municipality in eastern Latvia.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8b916a2d081909e249e4902f6aad9 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e5021b7e2c81908cd3b6684ab899f6 |
completed | April 19, 2026, 4:26 p.m. |
Created at: April 10, 2026, 10:36 a.m.