Triple
T11605025
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Claude, Duke of Guise |
E275233
|
entity |
| Predicate | title |
P38
|
FINISHED |
| Object | Count of Guise |
E686937
|
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: Count of Guise | Statement: [Claude, Duke of Guise, title, Count of Guise]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Count of Guise Context triple: [Claude, Duke of Guise, title, Count of Guise]
-
A.
Count of Guise
chosen
The Count of Guise was a noble title in the French aristocracy historically associated with a prominent cadet branch of the House of Lorraine that played a major role in French politics and religious conflicts.
-
B.
Count of Blois
The Count of Blois was a medieval French noble title associated with the powerful lords who ruled the strategically important county of Blois in central France.
-
C.
Guise
Guise is a commune in northern France known for its historic Château de Guise and its role in regional medieval and early modern history.
-
D.
Chevaleret
Chevaleret is a Paris Métro station in the 13th arrondissement, located on the elevated section of Line 6 near the Seine.
-
E.
Chevalier de Paris
Chevalier de Paris was a notable French performer and entertainer associated with the famed Parisian music hall scene.
- 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_69d6aaf84b548190ac072e4fb89ae18f |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d895502e0081909ee9c3d45d26cd91 |
completed | April 10, 2026, 6:14 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ee87077d008190874a8339b64dd5ec |
completed | April 26, 2026, 9:43 p.m. |
Created at: April 8, 2026, 9:38 p.m.