Triple
T13100664
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bobby Labonte |
E310708
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Labonte
Labonte is a surname most prominently associated with American NASCAR drivers Bobby and Terry Labonte.
|
E1020300
|
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: Labonte | Statement: [Bobby Labonte, familyName, Labonte]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Labonte Context triple: [Bobby Labonte, familyName, Labonte]
-
A.
Marlohe
Marlohe is the surname of French actress and model Bérénice Marlohe, best known for her role as Sévérine in the James Bond film "Skyfall."
-
B.
Molinaro
Molinaro is an Italian occupational surname, historically associated with millers and derived from the same root as "Molinero."
-
C.
Juprelle
Juprelle is a municipality in the province of Liège in Wallonia, Belgium, known for its rural character and proximity to the city of Liège.
-
D.
Banton
Banton is a small island municipality in the province of Romblon in the Philippines, known for its rugged terrain, historic church, and preserved indigenous culture.
-
E.
Laviolette
Laviolette was a 17th-century French military officer and colonial administrator best known for establishing the settlement that became the city of Trois-Rivières in New France.
- 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: Labonte Triple: [Bobby Labonte, familyName, Labonte]
Generated description
Labonte is a surname most prominently associated with American NASCAR drivers Bobby and Terry Labonte.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Labonte Target entity description: Labonte is a surname most prominently associated with American NASCAR drivers Bobby and Terry Labonte.
-
A.
Marlohe
Marlohe is the surname of French actress and model Bérénice Marlohe, best known for her role as Sévérine in the James Bond film "Skyfall."
-
B.
Molinaro
Molinaro is an Italian occupational surname, historically associated with millers and derived from the same root as "Molinero."
-
C.
Juprelle
Juprelle is a municipality in the province of Liège in Wallonia, Belgium, known for its rural character and proximity to the city of Liège.
-
D.
Banton
Banton is a small island municipality in the province of Romblon in the Philippines, known for its rugged terrain, historic church, and preserved indigenous culture.
-
E.
Laviolette
Laviolette was a 17th-century French military officer and colonial administrator best known for establishing the settlement that became the city of Trois-Rivières in New France.
- 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_69d806a872d08190a329806f8ff30df4 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d981515d488190908d3cca1b84a42d |
completed | April 10, 2026, 11:01 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6d61bcfe88190866b4330d1669602 |
completed | May 3, 2026, 4:59 a.m. |
| NEDg | Description generation | batch_69f6d98988308190b82c7e7a15428af2 |
completed | May 3, 2026, 5:13 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f6da5b7098819092feb7064d5e7755 |
completed | May 3, 2026, 5:17 a.m. |
Created at: April 9, 2026, 9:04 p.m.