Triple
T18015738
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bottle |
E430994
|
entity |
| Predicate | author |
P4
|
FINISHED |
| Object |
Marcel Hellkamp
Marcel Hellkamp is a software developer best known as the creator of the lightweight Python web framework Bottle.
|
E1310531
|
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: Marcel Hellkamp | Statement: [Bottle, author, Marcel Hellkamp]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Marcel Hellkamp Context triple: [Bottle, author, Marcel Hellkamp]
-
A.
Jürgen Ovens
Jürgen Ovens was a 17th-century German-Danish Baroque painter known for his portraits and history paintings, active primarily in Schleswig and the Netherlands.
-
B.
Klaus Allofs
Klaus Allofs is a former German footballer and forward renowned for his prolific goal-scoring at both club level and for West Germany, later serving as a football executive.
-
C.
André Fabius
André Fabius was a French antiquarian and art dealer, best known as the father of former French Prime Minister Laurent Fabius.
-
D.
Wilfried Seyferth
Wilfried Seyferth was a German actor known for his roles in mid-20th-century films, particularly in postwar German cinema.
-
E.
Herbert Gille
Herbert Gille was a high-ranking Waffen-SS officer and divisional commander during World War II, known for leading armoured units on the Eastern Front.
- 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: Marcel Hellkamp Triple: [Bottle, author, Marcel Hellkamp]
Generated description
Marcel Hellkamp is a software developer best known as the creator of the lightweight Python web framework Bottle.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Marcel Hellkamp Target entity description: Marcel Hellkamp is a software developer best known as the creator of the lightweight Python web framework Bottle.
-
A.
Jürgen Ovens
Jürgen Ovens was a 17th-century German-Danish Baroque painter known for his portraits and history paintings, active primarily in Schleswig and the Netherlands.
-
B.
Klaus Allofs
Klaus Allofs is a former German footballer and forward renowned for his prolific goal-scoring at both club level and for West Germany, later serving as a football executive.
-
C.
André Fabius
André Fabius was a French antiquarian and art dealer, best known as the father of former French Prime Minister Laurent Fabius.
-
D.
Wilfried Seyferth
Wilfried Seyferth was a German actor known for his roles in mid-20th-century films, particularly in postwar German cinema.
-
E.
Herbert Gille
Herbert Gille was a high-ranking Waffen-SS officer and divisional commander during World War II, known for leading armoured units on the Eastern Front.
- 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_69d8b904530081908bf341d842464856 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4b523f588819097389e067dda7f23 |
completed | April 19, 2026, 10:57 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0397eda87c81908ce6a0110843840c |
completed | May 12, 2026, 9:13 p.m. |
| NEDg | Description generation | batch_6a0399364d988190a457415c9c64a68d |
completed | May 12, 2026, 9:18 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0399e221308190988e728b9efb0141 |
completed | May 12, 2026, 9:21 p.m. |
Created at: April 10, 2026, 10:24 a.m.