Triple
T10388743
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Weil |
E244834
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object |
Martin Weil
Martin Weil is a journalist and writer best known for his long career as a reporter and editor at The Washington Post.
|
E887868
|
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 Weil | Statement: [Weil, hasNotableBearer, Martin Weil]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Martin Weil Context triple: [Weil, hasNotableBearer, Martin Weil]
-
A.
Walter Willinger
Walter Willinger is a prominent computer scientist known for his influential work in Internet traffic modeling, network measurement, and the application of fractal and self-similar processes to communication networks.
-
B.
Marten Wassmann
Marten Wassmann is an architect known for his partnership role at the Dutch architecture firm Benthem Crouwel Architekten.
-
C.
Gerhard Feige
Gerhard Feige is a German Roman Catholic prelate and theologian who serves as the bishop of Magdeburg.
-
D.
Herbert Klein
Herbert Klein is a notable individual recognized for his contributions in his respective field, sharing the surname Klein.
-
E.
Herbert Hainer
Herbert Hainer is a German businessman best known as the former long-time CEO of Adidas and current president of FC Bayern Munich.
- 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 Weil Triple: [Weil, hasNotableBearer, Martin Weil]
Generated description
Martin Weil is a journalist and writer best known for his long career as a reporter and editor at The Washington Post.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Martin Weil Target entity description: Martin Weil is a journalist and writer best known for his long career as a reporter and editor at The Washington Post.
-
A.
Walter Willinger
Walter Willinger is a prominent computer scientist known for his influential work in Internet traffic modeling, network measurement, and the application of fractal and self-similar processes to communication networks.
-
B.
Marten Wassmann
Marten Wassmann is an architect known for his partnership role at the Dutch architecture firm Benthem Crouwel Architekten.
-
C.
Gerhard Feige
Gerhard Feige is a German Roman Catholic prelate and theologian who serves as the bishop of Magdeburg.
-
D.
Herbert Klein
Herbert Klein is a notable individual recognized for his contributions in his respective field, sharing the surname Klein.
-
E.
Herbert Hainer
Herbert Hainer is a German businessman best known as the former long-time CEO of Adidas and current president of FC Bayern Munich.
- 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_69d381b5116081908d85227bab6d3c0c |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4e9a59d688190b1da1ea0ed48fafa |
completed | April 7, 2026, 11:25 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69de8413f30c8190aebe1504e213b6cc |
completed | April 14, 2026, 6:14 p.m. |
| NEDg | Description generation | batch_69de8e6f3fac8190bcd1675978d6d6d7 |
completed | April 14, 2026, 6:58 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69de8fa679cc81909cb51035e5403ce9 |
completed | April 14, 2026, 7:04 p.m. |
Created at: April 6, 2026, 12:05 p.m.