Triple
T10562142
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Antoine Étex |
E249243
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Étex |
E249243
|
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: Étex | Statement: [Antoine Étex, familyName, Étex]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Étex Context triple: [Antoine Étex, familyName, Étex]
-
A.
Étex
chosen
Étex is a French surname most notably borne by Antoine Étex, a 19th-century sculptor, painter, and architect.
-
B.
El Nayar
El Nayar is a municipality in the Mexican state of Nayarit, known for its rugged Sierra Madre Occidental terrain and significant indigenous communities.
-
C.
Etzatlán
Etzatlán is a municipality and town in the Mexican state of Jalisco, known for its agricultural activities and traditional crafts.
-
D.
Maravatío
Maravatío is a municipality and town in the state of Michoacán, Mexico, known for its colonial heritage and agricultural economy.
-
E.
Guarijío
Guarijío is an indigenous Uto-Aztecan language spoken by the Guarijío people of northern Mexico, particularly in the states of Chihuahua and Sonora.
- 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_69d381c8bd708190acf3d275c908251e |
completed | April 6, 2026, 9:50 a.m. |
| NER | Named-entity recognition | batch_69d527212dd081908629d91ce08f96a0 |
completed | April 7, 2026, 3:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d93491d2408190b5f54afddbb51ec4 |
completed | April 10, 2026, 5:34 p.m. |
Created at: April 6, 2026, 12:35 p.m.