Triple
T8817163
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Michael Strahan |
E209806
|
entity |
| Predicate | spouseOf |
P13
|
FINISHED |
| Object | Jean Muggli |
E209806
|
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: Jean Muggli | Statement: [Michael Strahan, spouseOf, Jean Muggli]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jean Muggli Context triple: [Michael Strahan, spouseOf, Jean Muggli]
-
A.
Jean Muggli
chosen
Jean Muggli is best known as the ex-wife of former NFL star and television personality Michael Strahan and the mother of his twin daughters.
-
B.
Leo Mechelin
Leo Mechelin was a Finnish statesman, liberal reformer, and professor who played a key role in Finland’s constitutional development and later helped establish Nokia as a company.
-
C.
Roger Wehrli
Roger Wehrli is a Hall of Fame American football cornerback best known for his standout career with the St. Louis Cardinals in the NFL during the 1970s.
-
D.
Martin Suter
Martin Suter is a Swiss author best known for his popular contemporary novels and crime fiction, including the successful "Business Class" stories and the Allmen detective series.
-
E.
Ueli Maurer
Ueli Maurer is a Swiss mathematician and computer scientist renowned for his contributions to cryptography and information security.
- 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_69ca8364e13081909c85fe80f44fe86f |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc600bd8a88190ad891a96201d796b |
completed | April 1, 2026, midnight |
| NED1 | Entity disambiguation (via context triple) | batch_69cf6fc1579c8190ade0f780183aa1dc |
completed | April 3, 2026, 7:44 a.m. |
Created at: March 30, 2026, 6:46 p.m.