Triple
T14455333
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | A Mighty Wind |
E358443
|
entity |
| Predicate | musicBy |
P1952
|
FINISHED |
| Object | Michael McKean |
E306273
|
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 McKean | Statement: [A Mighty Wind, musicBy, Michael McKean]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Michael McKean Context triple: [A Mighty Wind, musicBy, Michael McKean]
-
A.
Michael McKean
chosen
Michael McKean is an American actor, comedian, and musician best known for his roles in "This Is Spinal Tap," the sitcom "Laverne & Shirley," and the television series "Better Call Saul."
-
B.
David L. Lander
David L. Lander was an American actor and comedian best known for playing the quirky character Andrew "Squiggy" Squiggman on the sitcom *Laverne & Shirley*.
-
C.
Chris Elliott
Chris Elliott is an American actor and comedian known for his offbeat roles in film and television, including his supporting role in the comedy classic "Groundhog Day."
-
D.
Ken Wahl
Ken Wahl is an American actor best known for his tough-guy roles in films and television, particularly in the 1980s crime drama series "Wiseguy."
-
E.
Will Murray
Will Murray is an American writer best known for his extensive work continuing classic pulp fiction series, particularly the Doc Savage novels.
- 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_69d82794dfa081909b9134ad2e32244b |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de91a8bf088190abf5fd4f646b8c62 |
completed | April 14, 2026, 7:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fda90a7f2881909a7744f1f4344173 |
completed | May 8, 2026, 9:12 a.m. |
Created at: April 10, 2026, 1:19 a.m.