Triple
T16375492
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Metropole Orkest |
E397669
|
entity |
| Predicate | formerChiefConductor |
P21936
|
FINISHED |
| Object |
Rob Pronk
Rob Pronk was a Dutch jazz trumpeter, arranger, and bandleader renowned for his influential work in European big band and orchestral jazz.
|
E1210659
|
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: Rob Pronk | Statement: [Metropole Orkest, formerChiefConductor, Rob Pronk]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rob Pronk Context triple: [Metropole Orkest, formerChiefConductor, Rob Pronk]
-
A.
Adam Pijnacker
Adam Pijnacker was a 17th-century Dutch painter known for his Italianate landscapes and association with the artistic community in Delft.
-
B.
Greg Rikaart
Greg Rikaart is an American television actor best known for his long-running role as Kevin Fisher on the soap opera "The Young and the Restless."
-
C.
Laurentien Brinkhorst
Laurentien Brinkhorst is a Dutch royal and former journalist who became Princess Laurentien of the Netherlands through her marriage to Prince Constantijn.
-
D.
Gregor Rensen
Gregor Rensen is a Dutch politician who has served as the mayor of the city of Maassluis in the Netherlands.
-
E.
Nick Brongers
Nick Brongers is a music producer known for his work on the project "Room for Improvement."
- 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: Rob Pronk Triple: [Metropole Orkest, formerChiefConductor, Rob Pronk]
Generated description
Rob Pronk was a Dutch jazz trumpeter, arranger, and bandleader renowned for his influential work in European big band and orchestral jazz.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Rob Pronk Target entity description: Rob Pronk was a Dutch jazz trumpeter, arranger, and bandleader renowned for his influential work in European big band and orchestral jazz.
-
A.
Adam Pijnacker
Adam Pijnacker was a 17th-century Dutch painter known for his Italianate landscapes and association with the artistic community in Delft.
-
B.
Greg Rikaart
Greg Rikaart is an American television actor best known for his long-running role as Kevin Fisher on the soap opera "The Young and the Restless."
-
C.
Laurentien Brinkhorst
Laurentien Brinkhorst is a Dutch royal and former journalist who became Princess Laurentien of the Netherlands through her marriage to Prince Constantijn.
-
D.
Gregor Rensen
Gregor Rensen is a Dutch politician who has served as the mayor of the city of Maassluis in the Netherlands.
-
E.
Nick Brongers
Nick Brongers is a music producer known for his work on the project "Room for Improvement."
- 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_69d87f2880b48190ae1a9673a3bbef80 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e319d79df8819087285b9457b7bdb6 |
completed | April 18, 2026, 5:42 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00356406208190a9cedc1de2ab4e07 |
completed | May 10, 2026, 7:36 a.m. |
| NEDg | Description generation | batch_6a00377305bc8190a566c4ed4aed70c9 |
completed | May 10, 2026, 7:44 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0037e43a2c8190993447ade595f6e6 |
completed | May 10, 2026, 7:46 a.m. |
Created at: April 10, 2026, 5:08 a.m.