Triple
T8125210
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John II of France |
E189708
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object |
Jean le Bon
Jean le Bon was John II, a 14th-century King of France whose reign was marked by the Hundred Years' War and his capture at the Battle of Poitiers.
|
E713739
|
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: Jean le Bon | Statement: [John II of France, alsoKnownAs, Jean le Bon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jean le Bon Context triple: [John II of France, alsoKnownAs, Jean le Bon]
-
A.
Patrick Poivre d’Arvor
Patrick Poivre d’Arvor is a prominent French journalist, television news anchor, and author known for presenting TF1’s evening news for several decades.
-
B.
Jean-Michel
Jean-Michel is the given name of the influential American artist Jean-Michel Basquiat, a leading figure in 1980s neo-expressionist painting.
-
C.
Jo Bouillon
Jo Bouillon was a French bandleader and conductor best known as the fourth husband of entertainer Josephine Baker.
-
D.
Martin Fougerol
Martin Fougerol is a music video director known for his work on the video for the song "Vertigo."
-
E.
Etienne Girardot
Etienne Girardot was a British-born character actor known for his comic and eccentric roles in early 20th-century American stage and film productions.
- 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: Jean le Bon Triple: [John II of France, alsoKnownAs, Jean le Bon]
Generated description
Jean le Bon was John II, a 14th-century King of France whose reign was marked by the Hundred Years' War and his capture at the Battle of Poitiers.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Jean le Bon Target entity description: Jean le Bon was John II, a 14th-century King of France whose reign was marked by the Hundred Years' War and his capture at the Battle of Poitiers.
-
A.
Patrick Poivre d’Arvor
Patrick Poivre d’Arvor is a prominent French journalist, television news anchor, and author known for presenting TF1’s evening news for several decades.
-
B.
Jean-Michel
Jean-Michel is the given name of the influential American artist Jean-Michel Basquiat, a leading figure in 1980s neo-expressionist painting.
-
C.
Jo Bouillon
Jo Bouillon was a French bandleader and conductor best known as the fourth husband of entertainer Josephine Baker.
-
D.
Martin Fougerol
Martin Fougerol is a music video director known for his work on the video for the song "Vertigo."
-
E.
Etienne Girardot
Etienne Girardot was a British-born character actor known for his comic and eccentric roles in early 20th-century American stage and film productions.
- 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_69ca82bb74848190afb1f18640632c10 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb438d3f408190a0367daf0fbca9d2 |
completed | March 31, 2026, 3:46 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cc9462e0e88190b34333144e0f741c |
completed | April 1, 2026, 3:43 a.m. |
| NEDg | Description generation | batch_69cc9605b8248190a621ea934c58913d |
completed | April 1, 2026, 3:50 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69cc96fa03d881909a1eeed6af9a3149 |
completed | April 1, 2026, 3:54 a.m. |
Created at: March 30, 2026, 5:34 p.m.