Triple
T6750264
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Weber |
E154323
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object |
Michael Weber
Michael Weber is a common personal name shared by numerous individuals across various professions, including academia, sports, and the arts.
|
E622794
|
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: Michael Weber | Statement: [Weber, hasNotableBearer, Michael Weber]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Michael Weber Context triple: [Weber, hasNotableBearer, Michael Weber]
-
A.
Steven Weber
Steven Weber is an American actor best known for his role on the sitcom "Wings" and numerous television and film appearances.
-
B.
Peter Weber
Peter Weber is an American television personality and commercial airline pilot best known as the lead on season 24 of the reality dating show "The Bachelor."
-
C.
Matt Wertz
Matt Wertz is an American singer-songwriter known for his melodic pop and acoustic-driven music, often associated with the contemporary Christian and indie pop scenes.
-
D.
Jonathan Wiedemann
Jonathan Wiedemann is a former model and the ex-husband of Italian actress and model Isabella Rossellini.
-
E.
Eric Wetzels
Eric Wetzels is a Dutch politician who serves as the chairperson of the People's Party for Freedom and Democracy (VVD).
- 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: Michael Weber Triple: [Weber, hasNotableBearer, Michael Weber]
Generated description
Michael Weber is a common personal name shared by numerous individuals across various professions, including academia, sports, and the arts.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Michael Weber Target entity description: Michael Weber is a common personal name shared by numerous individuals across various professions, including academia, sports, and the arts.
-
A.
Steven Weber
Steven Weber is an American actor best known for his role on the sitcom "Wings" and numerous television and film appearances.
-
B.
Peter Weber
Peter Weber is an American television personality and commercial airline pilot best known as the lead on season 24 of the reality dating show "The Bachelor."
-
C.
Matt Wertz
Matt Wertz is an American singer-songwriter known for his melodic pop and acoustic-driven music, often associated with the contemporary Christian and indie pop scenes.
-
D.
Jonathan Wiedemann
Jonathan Wiedemann is a former model and the ex-husband of Italian actress and model Isabella Rossellini.
-
E.
Eric Wetzels
Eric Wetzels is a Dutch politician who serves as the chairperson of the People's Party for Freedom and Democracy (VVD).
- 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_69c6880ef37881909268a5a7299b9293 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d1da32108190882949aa329d2b60 |
completed | March 27, 2026, 6:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c72f86e9848190958e8f7a195fd20b |
completed | March 28, 2026, 1:31 a.m. |
| NEDg | Description generation | batch_69c7302319d081908dd0a42378e15c05 |
completed | March 28, 2026, 1:34 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c730a2bbdc819097dd130e85ffbfbf |
completed | March 28, 2026, 1:36 a.m. |
Created at: March 27, 2026, 2:11 p.m.