Triple
T7092618
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Michael De Luca |
E165233
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Michael De Luca |
E165233
|
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 De Luca | Statement: [Michael De Luca, name, Michael De Luca]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Michael De Luca Context triple: [Michael De Luca, name, Michael De Luca]
-
A.
Michael De Luca
chosen
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.
-
B.
Michael V. Gazzo
Michael V. Gazzo was an American actor and playwright best known for his Oscar-nominated performance as Frank Pentangeli in *The Godfather Part II* and for writing the play *A Hatful of Rain*.
-
C.
Robert Palumbo
Robert Palumbo is a television producer best known for serving as an executive producer on the science fiction series "Mars."
-
D.
Robert Mammone
Robert Mammone is an Australian actor known for his work in film and television, including roles in war dramas and action-oriented productions.
-
E.
Greg D'Auria
Greg D'Auria is a film editor known for his work on major Hollywood productions, including the science fiction film "Star Trek Beyond."
- 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_69c6887e8c10819091cee237560d32da |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e532513c8190968eea8a0d3235a0 |
completed | March 27, 2026, 8:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c810ae557881908340cee60c9d7932 |
completed | March 28, 2026, 5:32 p.m. |
Created at: March 27, 2026, 2:41 p.m.