Triple
T8329463
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Any Which Way You Can |
E195038
|
entity |
| Predicate | screenwriter |
P2831
|
FINISHED |
| Object | Jeremy Joe Kronsberg |
E727407
|
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: Jeremy Joe Kronsberg | Statement: [Any Which Way You Can, screenwriter, Jeremy Joe Kronsberg]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jeremy Joe Kronsberg Context triple: [Any Which Way You Can, screenwriter, Jeremy Joe Kronsberg]
-
A.
Jeremy Joe Kronsberg
chosen
Jeremy Joe Kronsberg is an American screenwriter and filmmaker best known for writing the Clint Eastwood comedy hit "Every Which Way but Loose."
-
B.
Josh Kramon
Josh Kramon is a television and film composer best known for scoring the cult mystery series "Veronica Mars."
-
C.
Jordan Kerner
Jordan Kerner is an American film and television producer known for projects such as "Less Than Zero" and the live-action "The Smurfs" films.
-
D.
Matthew Jensen
Matthew Jensen is a cinematographer best known for his work on major films such as the 2017 superhero movie "Wonder Woman."
-
E.
Eric Jacobsen
Eric Jacobsen is an American conductor and cellist known for his genre-crossing collaborations and leadership of innovative orchestral and chamber ensembles.
- 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_69ca82e87f2c8190bdb71ee29dfc642d |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb7fb812508190aed8a283dacf712e |
completed | March 31, 2026, 8:03 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cde794a4008190bbcb2f114c503458 |
completed | April 2, 2026, 3:50 a.m. |
Created at: March 30, 2026, 5:56 p.m.