Triple
T15180872
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Guillaumes |
E362738
|
entity |
| Predicate | namedAfter |
P63
|
FINISHED |
| Object | William (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: William (Guillaume) | Statement: [Guillaumes, namedAfter, William (Guillaume)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: William (Guillaume) Context triple: [Guillaumes, namedAfter, William (Guillaume)]
-
A.
Guillaume
chosen
Guillaume is the French form of the given name William, commonly used in French-speaking countries.
-
B.
Guillaume Cale
Guillaume Cale was a 14th-century French peasant leader who headed the Jacquerie uprising against the nobility during the Hundred Years' War.
-
C.
Willehalm
Willehalm is a Middle High German epic poem by Wolfram von Eschenbach that recounts the battles and spiritual struggles of the hero Willehalm in the context of Christian–Saracen conflict.
-
D.
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.
-
E.
Guillaume de Maria
Guillaume de Maria is a film producer known for his work on the French movie "Une enfant du siècle."
- 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_69d85a09a39c81908759f23268e2d408 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e00664caac81909bee1268264769f8 |
completed | April 15, 2026, 9:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fec89210e081909e8077fa2487c40e |
completed | May 9, 2026, 5:39 a.m. |
Created at: April 10, 2026, 3:09 a.m.