Triple
T17650474
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lejeune |
E429475
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object |
Florian Lejeune
Florian Lejeune is a French professional footballer known for his role as a central defender in top European leagues, including La Liga and the Premier League.
|
E1379274
|
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: Florian Lejeune | Statement: [Lejeune, hasNotableBearer, Florian Lejeune]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Florian Lejeune Context triple: [Lejeune, hasNotableBearer, Florian Lejeune]
-
A.
Frédéric Bricout
Frédéric Bricout is a French politician who serves as the mayor of the northern French city of Cambrai.
-
B.
François Lecointre
François Lecointre is a French Army general who served as France’s Chief of the Defence Staff.
-
C.
Gwendal Rouillard
Gwendal Rouillard is a French politician known for his involvement in centrist and liberal politics, including helping to establish the Union of Democrats and Independents (UDI).
-
D.
Ludovic Rohart
Ludovic Rohart is a French local politician serving as the mayor of the northern commune of Orchies.
-
E.
Frédéric Arnault
Frédéric Arnault is a French business executive known for his leadership roles within the LVMH luxury group, particularly in its watch division.
- 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: Florian Lejeune Triple: [Lejeune, hasNotableBearer, Florian Lejeune]
Generated description
Florian Lejeune is a French professional footballer known for his role as a central defender in top European leagues, including La Liga and the Premier League.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Florian Lejeune Target entity description: Florian Lejeune is a French professional footballer known for his role as a central defender in top European leagues, including La Liga and the Premier League.
-
A.
Frédéric Bricout
Frédéric Bricout is a French politician who serves as the mayor of the northern French city of Cambrai.
-
B.
François Lecointre
François Lecointre is a French Army general who served as France’s Chief of the Defence Staff.
-
C.
Gwendal Rouillard
Gwendal Rouillard is a French politician known for his involvement in centrist and liberal politics, including helping to establish the Union of Democrats and Independents (UDI).
-
D.
Ludovic Rohart
Ludovic Rohart is a French local politician serving as the mayor of the northern commune of Orchies.
-
E.
Frédéric Arnault
Frédéric Arnault is a French business executive known for his leadership roles within the LVMH luxury group, particularly in its watch division.
- 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_69d889e2c2608190b762e76d9b2262f1 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e46e3c7da48190b38558bc66637687 |
completed | April 19, 2026, 5:55 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a07470390208190be9956c308a7e194 |
completed | May 15, 2026, 4:17 p.m. |
| NEDg | Description generation | batch_6a074816e3148190899185537229cb11 |
completed | May 15, 2026, 4:21 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0748991f388190b72d1fbb986f5db8 |
completed | May 15, 2026, 4:23 p.m. |
Created at: April 10, 2026, 6:05 a.m.