Triple
T11337996
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Michael Zegen |
E268520
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Michael Zegen |
E268520
|
NE FINISHED |
How this triple was built (2 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 Zegen | Statement: [Michael Zegen, name, Michael Zegen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Michael Zegen Context triple: [Michael Zegen, name, Michael Zegen]
-
A.
Michael Zegen
chosen
Michael Zegen is an American actor known for his roles in independent films and television series such as "The Marvelous Mrs. Maisel" and "Boardwalk Empire."
-
B.
Michael Elias
Michael Elias is an American screenwriter, actor, and director best known for co-writing the hit comedy film "The Jerk" starring Steve Martin.
-
C.
Simon Konecki
Simon Konecki is a British charity entrepreneur best known for co-founding the clean-water organization Drop4Drop and for his former marriage to singer Adele.
-
D.
Matthias Zell
Matthias Zell was a leading early Protestant reformer and preacher in Strasbourg who played a central role in introducing and spreading Reformation ideas in the city.
-
E.
Michael David
Michael David is an actor known for his role in the classic 1958 film "The Inn of the Sixth Happiness."
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d6aacb1f0881908c84a349fd1be047 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7ea008b5081908e6c6c6fc29ef936 |
completed | April 9, 2026, 6:03 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e5432abfd081909d1bbf6460643fb9 |
completed | April 19, 2026, 9:03 p.m. |
Created at: April 8, 2026, 9:33 p.m.