Triple
T1422696
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | François Certain Canrobert |
E30259
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Canrobert
Canrobert is a French surname most notably borne by Marshal François Certain Canrobert, a prominent 19th-century French military leader.
|
E163089
|
NE FINISHED |
How this triple was built (4 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: Canrobert | Statement: [François Certain Canrobert, familyName, Canrobert]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Canrobert Context triple: [François Certain Canrobert, familyName, Canrobert]
-
A.
Ramillies
Ramillies is a village in present-day Belgium best known as the site of the 1706 Battle of Ramillies during the War of the Spanish Succession.
-
B.
Choully
Choully is a small wine-producing village in the commune of Satigny in the canton of Geneva, Switzerland.
-
C.
Boncourt
Boncourt is a locality known for its historic Château de Boncourt, reflecting its cultural and architectural heritage.
-
D.
Haubourdin
Haubourdin is a commune in northern France, located near Lille in the Nord department of the Hauts-de-France region.
-
E.
Fourchambault, France
Fourchambault, France is a small industrial town in the Nièvre department of central France, historically known for its steelworks and metallurgical industry.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Canrobert Triple: [François Certain Canrobert, familyName, Canrobert]
Generated description
Canrobert is a French surname most notably borne by Marshal François Certain Canrobert, a prominent 19th-century French military leader.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Canrobert Target entity description: Canrobert is a French surname most notably borne by Marshal François Certain Canrobert, a prominent 19th-century French military leader.
-
A.
Ramillies
Ramillies is a village in present-day Belgium best known as the site of the 1706 Battle of Ramillies during the War of the Spanish Succession.
-
B.
Choully
Choully is a small wine-producing village in the commune of Satigny in the canton of Geneva, Switzerland.
-
C.
Boncourt
Boncourt is a locality known for its historic Château de Boncourt, reflecting its cultural and architectural heritage.
-
D.
Haubourdin
Haubourdin is a commune in northern France, located near Lille in the Nord department of the Hauts-de-France region.
-
E.
Fourchambault, France
Fourchambault, France is a small industrial town in the Nièvre department of central France, historically known for its steelworks and metallurgical industry.
- F. None of above. chosen
Provenance (5 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_69a498fb823c8190a67ce4c4837e641a |
completed | March 1, 2026, 7:52 p.m. |
| NER | Named-entity recognition | batch_69a4c4ba798881909c2259987248b030 |
completed | March 1, 2026, 10:59 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad0161e23c819099a1c72627f13dd0 |
completed | March 8, 2026, 4:56 a.m. |
| NEDg | Description generation | batch_69ad01c53e808190824b9702c309f0a2 |
completed | March 8, 2026, 4:57 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ad0241546881908f1044616255f146 |
completed | March 8, 2026, 4:59 a.m. |
Created at: March 1, 2026, 8 p.m.