Triple
T1276920
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Don Mischer |
E27235
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Don Mischer |
E27235
|
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: Don Mischer | Statement: [Don Mischer, name, Don Mischer]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Don Mischer Context triple: [Don Mischer, name, Don Mischer]
-
A.
Don Mischer
chosen
Don Mischer is an American television producer and director renowned for staging major live events and award shows, including multiple Academy Awards broadcasts.
-
B.
Nellee Hooper
Nellee Hooper is a British record producer and remixer known for his influential work with artists such as U2, Björk, Massive Attack, and Madonna.
-
C.
Bill West
Bill West was the husband of American country music singer Dottie West and was associated with her early career and personal life.
-
D.
Robert Grubb
Robert Grubb is an Australian actor known for his work in film, television, and theatre, including notable roles in period dramas and popular Australian series.
-
E.
Don Maynard
Don Maynard was a Hall of Fame American football wide receiver best known as Joe Namath’s primary deep threat and a key offensive star for the New York Jets during the 1960s.
- 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_69a496d3710c8190955dee8bc0dacb50 |
completed | March 1, 2026, 7:43 p.m. |
| NER | Named-entity recognition | batch_69a4c0907f6081908df15679227341b5 |
completed | March 1, 2026, 10:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69acbae45da48190832dd8d74fdb217a |
completed | March 7, 2026, 11:55 p.m. |
Created at: March 1, 2026, 7:50 p.m.