Triple
T8329471
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Any Which Way You Can |
E195038
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object | Harry Guardino |
E360259
|
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: Harry Guardino | Statement: [Any Which Way You Can, starring, Harry Guardino]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Harry Guardino Context triple: [Any Which Way You Can, starring, Harry Guardino]
-
A.
Harry Guardino
chosen
Harry Guardino was an American character actor known for his tough, streetwise roles in mid-20th-century film and television.
-
B.
Arthur Gallucci
Arthur Gallucci was the husband of Hungarian-American socialite and actress Magda Gabor.
-
C.
Alan Di Fiore
Alan Di Fiore is a Canadian screenwriter and producer known for his work in film and television, including co-writing the thriller "Money Monster."
-
D.
Michael Ferraro
Michael Ferraro is a co-founder of Blue Sky Studios, the acclaimed animation company behind films such as the Ice Age series.
-
E.
Joe Corallo
Joe Corallo is a comic book writer and editor known for his work on independent and genre titles in the modern comics scene.
- 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_69cea805b8bc8190924dcf2ab51ba1e7 |
completed | April 2, 2026, 5:31 p.m. |
Created at: March 30, 2026, 5:56 p.m.