Triple
T1490557
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | van Dam |
E29567
|
entity |
| Predicate | hasVariant |
P455
|
FINISHED |
| Object |
van Damm
Van Damm is a variant spelling of the surname "van Dam," typically of Dutch origin.
|
E171240
|
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: van Damm | Statement: [van Dam, hasVariant, van Damm]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: van Damm Context triple: [van Dam, hasVariant, van Damm]
-
A.
Champagne
Champagne is a renowned wine-producing region in northeastern France famous for its sparkling wines made primarily from Chardonnay, Pinot Noir, and Pinot Meunier grapes.
-
B.
Van Brand
Van Brand is a film and television production company known for producing the comedy movie "Fist Fight."
-
C.
Stoffels
Stoffels is the surname of Hendrickje Stoffels, best known as the partner and model of the Dutch painter Rembrandt van Rijn.
-
D.
Blanc Fumé
Blanc Fumé is an alternative name for Sauvignon Blanc, particularly associated with smoky, flinty-style expressions of the grape.
-
E.
Amstel
The Amstel is a river in the Netherlands that flows through Amsterdam and has given its name to the city and a well-known Dutch beer brand.
- 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: van Damm Triple: [van Dam, hasVariant, van Damm]
Generated description
Van Damm is a variant spelling of the surname "van Dam," typically of Dutch origin.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: van Damm Target entity description: Van Damm is a variant spelling of the surname "van Dam," typically of Dutch origin.
-
A.
Champagne
Champagne is a renowned wine-producing region in northeastern France famous for its sparkling wines made primarily from Chardonnay, Pinot Noir, and Pinot Meunier grapes.
-
B.
Van Brand
Van Brand is a film and television production company known for producing the comedy movie "Fist Fight."
-
C.
Stoffels
Stoffels is the surname of Hendrickje Stoffels, best known as the partner and model of the Dutch painter Rembrandt van Rijn.
-
D.
Blanc Fumé
Blanc Fumé is an alternative name for Sauvignon Blanc, particularly associated with smoky, flinty-style expressions of the grape.
-
E.
Amstel
The Amstel is a river in the Netherlands that flows through Amsterdam and has given its name to the city and a well-known Dutch beer brand.
- 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_69a498da82e08190ba833330d05f380f |
completed | March 1, 2026, 7:51 p.m. |
| NER | Named-entity recognition | batch_69a4c6c233ec819087e1233af02aabfc |
completed | March 1, 2026, 11:07 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad1ca98e64819097916eb7717e6364 |
completed | March 8, 2026, 6:52 a.m. |
| NEDg | Description generation | batch_69ad1d34656481909949b4bfd83c6142 |
completed | March 8, 2026, 6:54 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ad1dd7b34c8190b6957be2112506dd |
completed | March 8, 2026, 6:57 a.m. |
Created at: March 1, 2026, 8:12 p.m.