Triple
T11497875
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | "Kiss Me Deadly" |
E272588
|
entity |
| Predicate | editor |
P1954
|
FINISHED |
| Object | Michael Luciano |
E272588
|
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 Luciano | Statement: ["Kiss Me Deadly", editor, Michael Luciano]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Michael Luciano Context triple: ["Kiss Me Deadly", editor, Michael Luciano]
-
A.
Michael Luciano
chosen
Michael Luciano is a film editor best known for his long collaboration with director Robert Aldrich, including work on the noir classic "Kiss Me Deadly."
-
B.
Marc Iacona
Marc Iacona is an American arts executive and co-founder of the Rochester International Jazz Festival, known for his role in developing it into a major jazz event.
-
C.
Michael Antonelli
Michael Antonelli is a professional cyclist from San Marino known for representing his country in international road racing competitions.
-
D.
Michael De Luca
Michael De Luca is an American film producer and studio executive known for overseeing and producing a wide range of major Hollywood films across genres.
-
E.
Phil Leotardo
Phil Leotardo is a ruthless New York mob boss and major antagonist in the television series "The Sopranos."
- 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_69d6aae1b09881909ce2ded3fa0c14fa |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d85de27db081909ccdb4ab0ef75bdb |
completed | April 10, 2026, 2:18 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6b8b5ad3c81909c38c83804b7d337 |
completed | May 3, 2026, 2:53 a.m. |
Created at: April 8, 2026, 9:36 p.m.