Triple
T5314609
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maassluis |
E119115
|
entity |
| Predicate | hasMayor |
P185
|
FINISHED |
| Object |
Gregor Rensen
Gregor Rensen is a Dutch politician who has served as the mayor of the city of Maassluis in the Netherlands.
|
E511809
|
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: Gregor Rensen | Statement: [Maassluis, hasMayor, Gregor Rensen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gregor Rensen Context triple: [Maassluis, hasMayor, Gregor Rensen]
-
A.
Saunder Jurriaans
Saunder Jurriaans is an American composer and musician best known for his atmospheric film and television scores, often created in collaboration with Danny Bensi.
-
B.
Rogier Stoffers
Rogier Stoffers is a Dutch cinematographer known for his work on a range of international films and television productions.
-
C.
Sebastian Tapijn
Sebastian Tapijn was a military commander known for leading the defense of Maastricht during the Eighty Years' War.
-
D.
Tim Kruithoff
Tim Kruithoff is a German local politician who serves as the mayor of the city of Emden in Lower Saxony.
-
E.
Leo Beenhakker
Leo Beenhakker is a Dutch football manager renowned for coaching top clubs and national teams, including Real Madrid, Ajax, and the Netherlands.
- 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: Gregor Rensen Triple: [Maassluis, hasMayor, Gregor Rensen]
Generated description
Gregor Rensen is a Dutch politician who has served as the mayor of the city of Maassluis in the Netherlands.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Gregor Rensen Target entity description: Gregor Rensen is a Dutch politician who has served as the mayor of the city of Maassluis in the Netherlands.
-
A.
Saunder Jurriaans
Saunder Jurriaans is an American composer and musician best known for his atmospheric film and television scores, often created in collaboration with Danny Bensi.
-
B.
Rogier Stoffers
Rogier Stoffers is a Dutch cinematographer known for his work on a range of international films and television productions.
-
C.
Sebastian Tapijn
Sebastian Tapijn was a military commander known for leading the defense of Maastricht during the Eighty Years' War.
-
D.
Tim Kruithoff
Tim Kruithoff is a German local politician who serves as the mayor of the city of Emden in Lower Saxony.
-
E.
Leo Beenhakker
Leo Beenhakker is a Dutch football manager renowned for coaching top clubs and national teams, including Real Madrid, Ajax, and the Netherlands.
- 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_69bd446b57bc8190a513d2e6c40314f3 |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd854d947081909e51b27e40940580 |
completed | March 20, 2026, 5:35 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf188d3a2c8190ad06d1b71ef73780 |
completed | March 21, 2026, 10:15 p.m. |
| NEDg | Description generation | batch_69bf195d26e88190b86c16cd6adc7c5c |
completed | March 21, 2026, 10:19 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69bf1a0bbed08190bf21bd99343b90a4 |
completed | March 21, 2026, 10:22 p.m. |
Created at: March 20, 2026, 1:54 p.m.