Triple
T9816114
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Francis, Duke of Anjou |
E238408
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
Francis
Francis was a French prince of the House of Valois who held the title Duke of Anjou in the late 16th century.
|
E823388
|
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: Francis | Statement: [Francis, Duke of Anjou, givenName, Francis]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Francis Context triple: [Francis, Duke of Anjou, givenName, Francis]
-
A.
Francis
Francis is the middle name of American seismologist Charles Francis Richter, best known for creating the Richter magnitude scale for measuring earthquakes.
-
B.
Francis
Francis is the given first name of Canadian ice hockey player and Hall of Famer King Clancy.
-
C.
Francis
Francis is the given name of Francis Egerton, 3rd Duke of Bridgewater, an 18th-century English nobleman famed for pioneering canal construction during the Industrial Revolution.
-
D.
Francis
Francis is the given name of X. Atencio, the Disney animator and Imagineer known for his work on attractions like Pirates of the Caribbean and The Haunted Mansion.
-
E.
Francis
Francis is a person known primarily through their association as a friend of Heimlich.
- 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: Francis Triple: [Francis, Duke of Anjou, givenName, Francis]
Generated description
Francis was a French prince of the House of Valois who held the title Duke of Anjou in the late 16th century.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Francis Target entity description: Francis was a French prince of the House of Valois who held the title Duke of Anjou in the late 16th century.
-
A.
Francis
Francis, Duke of Guise, was a prominent 16th-century French nobleman and military leader known for his key role in the French Wars of Religion and his influence in the powerful House of Guise.
-
B.
Francis
Francis was the given name of Francis of Lorraine, a 16th-century French nobleman who became Duke of Lorraine and played a significant role in European dynastic politics.
-
C.
Francis
Francis was a German nobleman who served as Duke of Saxe-Coburg-Saalfeld in the late 18th and early 19th centuries.
-
D.
Francis
Francis is the given name of Francis Edward Rawdon-Hastings, a prominent British military commander and colonial administrator of the late 18th and early 19th centuries.
-
E.
Francis
Francis is the given name of Francis Egerton, 3rd Duke of Bridgewater, an 18th-century English nobleman famed for pioneering canal construction during the Industrial Revolution.
- 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_69ca84dfde1481909f47c286d715f892 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cdb2f341648190bf8343e1124085cb |
completed | April 2, 2026, 12:06 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1cc6c64dc8190979be34255dc22e5 |
completed | April 5, 2026, 2:43 a.m. |
| NEDg | Description generation | batch_69d1cf7ce46c8190a7383086eb667b51 |
completed | April 5, 2026, 2:57 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d1d0034dc081908182e3f873a2c584 |
completed | April 5, 2026, 2:59 a.m. |
Created at: March 30, 2026, 8:30 p.m.