Triple
T13702685
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Greased Lightning |
E328558
|
entity |
| Predicate | director |
P255
|
FINISHED |
| Object | Michael Schultz |
E278473
|
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 Schultz | Statement: [Greased Lightning, director, Michael Schultz]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Michael Schultz Context triple: [Greased Lightning, director, Michael Schultz]
-
A.
Michael Schultz
chosen
Michael Schultz is an American film and television director best known for his influential work on 1970s comedies and dramas, including the cult classic "Car Wash."
-
B.
Kevin M. Schultz
Kevin M. Schultz is an American historian and author known for his work on modern American history, religion, and pluralism, and for writing widely used college history textbooks.
-
C.
Michael J. McCulley
Michael J. McCulley is a former NASA astronaut and U.S. Navy submariner who served as the pilot of the Space Shuttle Atlantis on the STS-34 mission.
-
D.
Michael Schroeder
Michael Schroeder is a software developer best known for his work on the GNU Screen terminal multiplexer.
-
E.
Mike Krause
Mike Krause is a fictional character from the action thriller film "Salt," involved in the high-stakes world of espionage and covert operations.
- 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_69d8076ff62081908a7bd79889edd7a0 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dcad162158819089280ee1e6b5c2cf |
completed | April 13, 2026, 8:45 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fcdeed4548819082038c5b88ccd212 |
completed | May 7, 2026, 6:50 p.m. |
Created at: April 9, 2026, 9:54 p.m.