Triple
T8800687
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Paul Polman |
E209398
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Polman
Polman is a Dutch surname most notably associated with Paul Polman, the former CEO of Unilever and prominent advocate for sustainable business practices.
|
E759299
|
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: Polman | Statement: [Paul Polman, familyName, Polman]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Polman Context triple: [Paul Polman, familyName, Polman]
-
A.
Haselhorst
Haselhorst is a residential and industrial locality in the Spandau borough of Berlin, Germany, known for its housing estates and proximity to the River Havel.
-
B.
Barneveld
Barneveld is a municipality and town in the Dutch province of Gelderland, known for its poultry industry and central location in the Netherlands.
-
C.
Enkhuizen
Enkhuizen is a historic port town in the Dutch province of North Holland, known for its maritime heritage and well-preserved old center on the IJsselmeer.
-
D.
Zonnemaire
Zonnemaire is a small village in the Dutch province of Zeeland, notable as the birthplace of Nobel Prize–winning physicist Pieter Zeeman.
-
E.
Wiefelstede
Wiefelstede is a municipality in Lower Saxony, Germany, known as the birthplace of influential theologian Rudolf Bultmann.
- 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: Polman Triple: [Paul Polman, familyName, Polman]
Generated description
Polman is a Dutch surname most notably associated with Paul Polman, the former CEO of Unilever and prominent advocate for sustainable business practices.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Polman Target entity description: Polman is a Dutch surname most notably associated with Paul Polman, the former CEO of Unilever and prominent advocate for sustainable business practices.
-
A.
Haselhorst
Haselhorst is a residential and industrial locality in the Spandau borough of Berlin, Germany, known for its housing estates and proximity to the River Havel.
-
B.
Barneveld
Barneveld is a municipality and town in the Dutch province of Gelderland, known for its poultry industry and central location in the Netherlands.
-
C.
Enkhuizen
Enkhuizen is a historic port town in the Dutch province of North Holland, known for its maritime heritage and well-preserved old center on the IJsselmeer.
-
D.
Zonnemaire
Zonnemaire is a small village in the Dutch province of Zeeland, notable as the birthplace of Nobel Prize–winning physicist Pieter Zeeman.
-
E.
Wiefelstede
Wiefelstede is a municipality in Lower Saxony, Germany, known as the birthplace of influential theologian Rudolf Bultmann.
- 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_69ca836320e48190b5cf585b90a322c4 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc5fb8aab88190befed16301e08efc |
completed | March 31, 2026, 11:58 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cf6f6fdd688190bf40bbde0be991e1 |
completed | April 3, 2026, 7:42 a.m. |
| NEDg | Description generation | batch_69cf718a6f2c81908f8b8d08a1437749 |
completed | April 3, 2026, 7:51 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69cf7275fea08190b8999fb30663ff17 |
completed | April 3, 2026, 7:55 a.m. |
Created at: March 30, 2026, 6:44 p.m.