Triple
T7941892
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rudy Gobert |
E184410
|
entity |
| Predicate | father |
P120
|
FINISHED |
| Object |
Rudy Bourgarel
Rudy Bourgarel is a former French basketball player best known as the father of NBA star Rudy Gobert.
|
E704442
|
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: Rudy Bourgarel | Statement: [Rudy Gobert, father, Rudy Bourgarel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rudy Bourgarel Context triple: [Rudy Gobert, father, Rudy Bourgarel]
-
A.
Benoit Dageville
Benoit Dageville is a French computer scientist and entrepreneur best known as a co-founder of the cloud data platform company Snowflake.
-
B.
Franck Eggelhoffer
Franck Eggelhoffer is the flamboyant, eccentric wedding planner portrayed by Martin Short in the comedy film "Father of the Bride."
-
C.
Patrick Baudry
Patrick Baudry is a French astronaut and test pilot who became one of the first French citizens to fly in space.
-
D.
Frédéric Bricout
Frédéric Bricout is a French politician who serves as the mayor of the northern French city of Cambrai.
-
E.
Thierry Burkhard
Thierry Burkhard is a French Army general who has served as France’s top military officer and a key figure in shaping the country’s contemporary defense policy and armed forces.
- 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: Rudy Bourgarel Triple: [Rudy Gobert, father, Rudy Bourgarel]
Generated description
Rudy Bourgarel is a former French basketball player best known as the father of NBA star Rudy Gobert.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Rudy Bourgarel Target entity description: Rudy Bourgarel is a former French basketball player best known as the father of NBA star Rudy Gobert.
-
A.
Benoit Dageville
Benoit Dageville is a French computer scientist and entrepreneur best known as a co-founder of the cloud data platform company Snowflake.
-
B.
Franck Eggelhoffer
Franck Eggelhoffer is the flamboyant, eccentric wedding planner portrayed by Martin Short in the comedy film "Father of the Bride."
-
C.
Patrick Baudry
Patrick Baudry is a French astronaut and test pilot who became one of the first French citizens to fly in space.
-
D.
Frédéric Bricout
Frédéric Bricout is a French politician who serves as the mayor of the northern French city of Cambrai.
-
E.
Thierry Burkhard
Thierry Burkhard is a French Army general who has served as France’s top military officer and a key figure in shaping the country’s contemporary defense policy and armed forces.
- 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_69ca8291c2008190b1b8832c87814bcf |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb3b0c16b8819093c5d1719cd65ee3 |
completed | March 31, 2026, 3:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cbe024a7dc8190a8bd11f266ebbc96 |
completed | March 31, 2026, 2:54 p.m. |
| NEDg | Description generation | batch_69cbe4383d0c819085e7c95e7b0be16e |
completed | March 31, 2026, 3:11 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69cc34a83cec81908aba7afbaea53449 |
completed | March 31, 2026, 8:55 p.m. |
Created at: March 30, 2026, 5:09 p.m.