Triple
T3596718
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | William IV, Grand Duke of Luxembourg |
E76157
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Guillaume |
E16054
|
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: Guillaume | Statement: [William IV, Grand Duke of Luxembourg, givenName, Guillaume]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Guillaume Context triple: [William IV, Grand Duke of Luxembourg, givenName, Guillaume]
-
A.
Guillaume
chosen
Guillaume is the French form of the given name William, commonly used in French-speaking countries.
-
B.
Hugues
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.
-
C.
Raoul
Raoul is a violent, masked intruder and one of the primary antagonists in the thriller film "Panic Room."
-
D.
Étienne
Étienne is the given first name of the French Symbolist poet Stéphane Mallarmé.
-
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_69ad85d8042081908af94a04c410dec0 |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc19b26bc8190b3cc0613a1a98361 |
completed | March 8, 2026, 6:36 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b4daf58ebc81908a75b2ce01588681 |
completed | March 14, 2026, 3:50 a.m. |
Created at: March 8, 2026, 3:22 p.m.