Triple
T22150814
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Freddy Delbaen |
E547406
|
entity |
| Predicate | coAuthor |
P398
|
FINISHED |
| Object |
Hans Föllmer
Hans Föllmer is a German mathematician renowned for his contributions to probability theory and mathematical finance.
|
E1561327
|
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: Hans Föllmer | Statement: [Freddy Delbaen, coAuthor, Hans Föllmer]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hans Föllmer Context triple: [Freddy Delbaen, coAuthor, Hans Föllmer]
-
A.
Dietmar Bär
Dietmar Bär is a German actor best known for his long-running role as detective Freddy Schenk in the popular crime series "Tatort."
-
B.
Jürgen Büscher
Jürgen Büscher is a screenwriter best known for co-writing the 1993 German war film "Stalingrad."
-
C.
Eckhard Pfeiffer
Eckhard Pfeiffer is a German-American businessman best known for serving as CEO of Compaq Computer Corporation during its rapid expansion in the 1990s.
-
D.
Gerhard Vollmer
Gerhard Vollmer is a German philosopher and physicist best known for his influential work in evolutionary epistemology and the philosophy of science.
-
E.
Volker Jung
Volker Jung is a German Protestant theologian and church leader known for serving as president of the Protestant Church in Hesse and Nassau and for his engagement with contemporary social and ethical issues.
- 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: Hans Föllmer Triple: [Freddy Delbaen, coAuthor, Hans Föllmer]
Generated description
Hans Föllmer is a German mathematician renowned for his contributions to probability theory and mathematical finance.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Hans Föllmer Target entity description: Hans Föllmer is a German mathematician renowned for his contributions to probability theory and mathematical finance.
-
A.
Dietmar Bär
Dietmar Bär is a German actor best known for his long-running role as detective Freddy Schenk in the popular crime series "Tatort."
-
B.
Jürgen Büscher
Jürgen Büscher is a screenwriter best known for co-writing the 1993 German war film "Stalingrad."
-
C.
Eckhard Pfeiffer
Eckhard Pfeiffer is a German-American businessman best known for serving as CEO of Compaq Computer Corporation during its rapid expansion in the 1990s.
-
D.
Gerhard Vollmer
Gerhard Vollmer is a German philosopher and physicist best known for his influential work in evolutionary epistemology and the philosophy of science.
-
E.
Volker Jung
Volker Jung is a German Protestant theologian and church leader known for serving as president of the Protestant Church in Hesse and Nassau and for his engagement with contemporary social and ethical issues.
- 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_69e11e3b52088190ad5df386d01eb2fb |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f129f37dac8190a7cecb12f4271515 |
completed | April 28, 2026, 9:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0bc22afa788190a93dc2beeeeedcc3 |
completed | May 19, 2026, 1:51 a.m. |
| NEDg | Description generation | batch_6a0bc31b94f481909c437296742cfed8 |
completed | May 19, 2026, 1:55 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0bc38cf34c8190aaca05bbf32d28de |
completed | May 19, 2026, 1:57 a.m. |
Created at: April 16, 2026, 8:33 p.m.