Triple
T4272735
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Isabella Rossellini |
E96977
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object |
Jonathan Wiedemann
Jonathan Wiedemann is a former model and the ex-husband of Italian actress and model Isabella Rossellini.
|
E452616
|
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: Jonathan Wiedemann | Statement: [Isabella Rossellini, spouse, Jonathan Wiedemann]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jonathan Wiedemann Context triple: [Isabella Rossellini, spouse, Jonathan Wiedemann]
-
A.
Chris Weinke
Chris Weinke is a former American football quarterback best known for leading Florida State University to a national championship and winning the Heisman Trophy before playing in the NFL.
-
B.
Ken Schretzmann
Ken Schretzmann is a film editor known for his work on major animated features, including Guillermo del Toro's stop-motion adaptation of Pinocchio.
-
C.
Ryan Dusick
Ryan Dusick is an American musician best known as the original drummer and a founding member of the pop rock band Maroon 5.
-
D.
Eric Wetzels
Eric Wetzels is a Dutch politician who serves as the chairperson of the People's Party for Freedom and Democracy (VVD).
-
E.
Matthew Schmidt
Matthew Schmidt is a film editor best known for his work on major Marvel Cinematic Universe films, including Avengers: Infinity War.
- 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: Jonathan Wiedemann Triple: [Isabella Rossellini, spouse, Jonathan Wiedemann]
Generated description
Jonathan Wiedemann is a former model and the ex-husband of Italian actress and model Isabella Rossellini.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Jonathan Wiedemann Target entity description: Jonathan Wiedemann is a former model and the ex-husband of Italian actress and model Isabella Rossellini.
-
A.
Chris Weinke
Chris Weinke is a former American football quarterback best known for leading Florida State University to a national championship and winning the Heisman Trophy before playing in the NFL.
-
B.
Ken Schretzmann
Ken Schretzmann is a film editor known for his work on major animated features, including Guillermo del Toro's stop-motion adaptation of Pinocchio.
-
C.
Ryan Dusick
Ryan Dusick is an American musician best known as the original drummer and a founding member of the pop rock band Maroon 5.
-
D.
Eric Wetzels
Eric Wetzels is a Dutch politician who serves as the chairperson of the People's Party for Freedom and Democracy (VVD).
-
E.
Matthew Schmidt
Matthew Schmidt is a film editor best known for his work on major Marvel Cinematic Universe films, including Avengers: Infinity War.
- 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_69b34543f06c8190915ebb1a4574ffa9 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b34ffe44508190875d734eb18dfb87 |
completed | March 12, 2026, 11:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bdc532cd9c8190bb0763f5b78ed32f |
completed | March 20, 2026, 10:07 p.m. |
| NEDg | Description generation | batch_69bdc9f5c524819084be0a744d3dc73a |
completed | March 20, 2026, 10:28 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69bdca5a25dc81909ce6294b747e1e81 |
completed | March 20, 2026, 10:29 p.m. |
Created at: March 12, 2026, 11:07 p.m.