Triple
T763284
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Émile Nouguier |
E16117
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Nouguier |
E16117
|
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: Nouguier | Statement: [Émile Nouguier, familyName, Nouguier]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nouguier Context triple: [Émile Nouguier, familyName, Nouguier]
-
A.
Roussel
Roussel is a surname of French origin, often used as an alternative spelling of Russell.
-
B.
Émile Nouguier
chosen
Émile Nouguier was a French civil engineer best known as one of the principal designers of the Eiffel Tower.
-
C.
Victor Laloux
Victor Laloux was a prominent French architect of the late 19th and early 20th centuries, best known for his grand Beaux-Arts railway stations and public buildings in Paris.
-
D.
Préféte Duffaut
Préféte Duffaut was a renowned Haitian painter celebrated for his imaginative, dreamlike cityscapes and significant contributions to Haitian naïve art.
-
E.
Fernand Khnopff
Fernand Khnopff was a Belgian Symbolist painter and graphic artist known for his enigmatic, dreamlike compositions and refined, introspective portraits.
- 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_69a493684ee48190bd43b7c78da4aec8 |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4a69c8c448190a036a04fd8fdd2c2 |
completed | March 1, 2026, 8:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a65e46d86c81908bc0ea469ccb091d |
completed | March 3, 2026, 4:06 a.m. |
Created at: March 1, 2026, 7:37 p.m.