Triple
T256180
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Battle of Dunkirk |
E5441
|
entity |
| Predicate | commander |
P1061
|
FINISHED |
| Object |
Bertrand Fagalde
Bertrand Fagalde was a French admiral best known for his leadership of French naval forces during the Battle of Dunkirk in World War II.
|
E39901
|
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: Bertrand Fagalde | Statement: [Battle of Dunkirk, commander, Bertrand Fagalde]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bertrand Fagalde Context triple: [Battle of Dunkirk, commander, Bertrand Fagalde]
-
A.
Laurent Durand
Laurent Durand was an 18th-century French publisher and bookseller best known for helping to produce the influential Enlightenment-era Encyclopédie.
-
B.
Stéphane Mille
Stéphane Mille is a French Air and Space Force general who serves as its current chief of staff.
-
C.
Gabriel Leveque
Gabriel Leveque was an artist known for creating religious murals, including notable works in Port-au-Prince’s Holy Trinity Cathedral.
-
D.
Philippe Erlanger
Philippe Erlanger was a French historian and cultural administrator best known for initiating and organizing the creation of the Cannes Film Festival.
-
E.
Robert Fraisse
Robert Fraisse is a French cinematographer known for his visually striking work on international films, including major war dramas and action features.
- 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: Bertrand Fagalde Triple: [Battle of Dunkirk, commander, Bertrand Fagalde]
Generated description
Bertrand Fagalde was a French admiral best known for his leadership of French naval forces during the Battle of Dunkirk in World War II.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Bertrand Fagalde Target entity description: Bertrand Fagalde was a French admiral best known for his leadership of French naval forces during the Battle of Dunkirk in World War II.
-
A.
Laurent Durand
Laurent Durand was an 18th-century French publisher and bookseller best known for helping to produce the influential Enlightenment-era Encyclopédie.
-
B.
Stéphane Mille
Stéphane Mille is a French Air and Space Force general who serves as its current chief of staff.
-
C.
Gabriel Leveque
Gabriel Leveque was an artist known for creating religious murals, including notable works in Port-au-Prince’s Holy Trinity Cathedral.
-
D.
Philippe Erlanger
Philippe Erlanger was a French historian and cultural administrator best known for initiating and organizing the creation of the Cannes Film Festival.
-
E.
Robert Fraisse
Robert Fraisse is a French cinematographer known for his visually striking work on international films, including major war dramas and action features.
- 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_69a2580a64ac8190ad76e34bb0715b5e |
completed | Feb. 28, 2026, 2:50 a.m. |
| NER | Named-entity recognition | batch_69a25d5669008190978bbd7308be11f7 |
completed | Feb. 28, 2026, 3:13 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a3b46e24888190b400bf5ee8028e7c |
completed | March 1, 2026, 3:37 a.m. |
| NEDg | Description generation | batch_69a3b848d4588190b209285051720c52 |
completed | March 1, 2026, 3:53 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a3b8b0d0108190ae92bf7cb2cad333 |
completed | March 1, 2026, 3:55 a.m. |
Created at: Feb. 28, 2026, 2:55 a.m.