Triple
T3721679
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fischer |
E81650
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object |
Martin Fischer
Martin Fischer is a personal name shared by multiple individuals across various professions, such as sports, science, and the arts.
|
E392731
|
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: Martin Fischer | Statement: [Fischer, hasNotableBearer, Martin Fischer]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Martin Fischer Context triple: [Fischer, hasNotableBearer, Martin Fischer]
-
A.
Christian Meyer
Christian Meyer is the husband of American author Stephenie Meyer, best known for her Twilight series.
-
B.
Markus Morgenstern
Markus Morgenstern is a mathematician known for his contributions to combinatorics and graph theory.
-
C.
Peter Vinnemeier
Peter Vinnemeier is a German entrepreneur best known as a co-founder of the global hotel search and price comparison platform Trivago.
-
D.
Jens Schlosser
Jens Schlosser is a cinematographer known for his work on the film "The Salvation."
-
E.
Max Sollmann
Max Sollmann was a Nazi official who served as a defendant in the post-World War II RuSHA Trial for his involvement in racial and resettlement policies of the SS.
- 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: Martin Fischer Triple: [Fischer, hasNotableBearer, Martin Fischer]
Generated description
Martin Fischer is a personal name shared by multiple individuals across various professions, such as sports, science, and the arts.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Martin Fischer Target entity description: Martin Fischer is a personal name shared by multiple individuals across various professions, such as sports, science, and the arts.
-
A.
Christian Meyer
Christian Meyer is the husband of American author Stephenie Meyer, best known for her Twilight series.
-
B.
Markus Morgenstern
Markus Morgenstern is a mathematician known for his contributions to combinatorics and graph theory.
-
C.
Peter Vinnemeier
Peter Vinnemeier is a German entrepreneur best known as a co-founder of the global hotel search and price comparison platform Trivago.
-
D.
Jens Schlosser
Jens Schlosser is a cinematographer known for his work on the film "The Salvation."
-
E.
Max Sollmann
Max Sollmann was a Nazi official who served as a defendant in the post-World War II RuSHA Trial for his involvement in racial and resettlement policies of the SS.
- 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_69ad8b1b7ef081908d2d381bbf54985a |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69adca9d29208190bbf38a6aa88f954a |
completed | March 8, 2026, 7:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b503e201e88190bbac29e6b3722959 |
completed | March 14, 2026, 6:44 a.m. |
| NEDg | Description generation | batch_69b505420de0819086dee340f34a8886 |
completed | March 14, 2026, 6:50 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b5064192a48190a0f95dee872437e0 |
completed | March 14, 2026, 6:54 a.m. |
Created at: March 8, 2026, 3:34 p.m.