Triple
T18965503
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Louis of Holland |
E464026
|
entity |
| Predicate | title |
P38
|
FINISHED |
| Object | Count of Saint-Leu |
—
|
NE NERFINISHED |
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 Saint-Leu | Statement: [Louis of Holland, title, Count of Saint-Leu]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Count of Saint-Leu Context triple: [Louis of Holland, title, Count of Saint-Leu]
-
A.
Count of Saint-Leu
chosen
The Count of Saint-Leu was a noble title held by Louis Bonaparte, former King of Holland and younger brother of Napoleon Bonaparte.
-
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.
Count of Arles
Count of Arles was a medieval noble title associated with the rulership of the important Provençal city and region of Arles in what is now southern France.
-
D.
Count of Arlon
Count of Arlon was a medieval noble title associated with the region around Arlon in present-day Belgium, historically linked to the House of Limburg.
-
E.
Rebecq
Rebecq is a municipality in the Belgian province of Walloon Brabant, known for its rural character and historic watermills.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8dcffc278819086792a4ebfddfafa |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5d5d663948190b496fbd2e69c7f43 |
completed | April 20, 2026, 7:29 a.m. |
Created at: April 10, 2026, noon