Triple
T5969430
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ugo |
E132834
|
entity |
| Predicate | hasVariantForm |
P457
|
FINISHED |
| Object | Hugues |
E141482
|
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: Hugues | Statement: [Ugo, hasVariantForm, Hugues]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hugues Context triple: [Ugo, hasVariantForm, Hugues]
-
A.
Hugues
chosen
Hugues is a French given name, equivalent to the English name Hugh, historically borne by various nobles, clerics, and notable figures in French-speaking regions.
-
B.
Guillaume
Guillaume is the French form of the given name William, commonly used in French-speaking countries.
-
C.
Étienne
Étienne is the given first name of the French Symbolist poet Stéphane Mallarmé.
-
D.
Henri
Henri is a given name most famously associated with the French artist Henri Matisse.
-
E.
Grégoire
Grégoire is the French form of the given name Gregory, commonly used in French-speaking countries.
- 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_69c0086deab081908550159ca23eec9b |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c03a40cfe08190a40de42831af7cf8 |
completed | March 22, 2026, 6:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c0e40506848190843971e772d56054 |
completed | March 23, 2026, 6:56 a.m. |
Created at: March 22, 2026, 4:03 p.m.