Triple
T3068013
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Megan Leavey |
E62152
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Lorenzo di Bonaventura |
E322038
|
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: Lorenzo di Bonaventura | Statement: [Megan Leavey, producer, Lorenzo di Bonaventura]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lorenzo di Bonaventura Context triple: [Megan Leavey, producer, Lorenzo di Bonaventura]
-
A.
Lorenzo di Bonaventura
chosen
Lorenzo di Bonaventura is an American film producer best known for overseeing major Hollywood action and franchise films, including the Transformers series.
-
B.
Lorenzo Baldisseri
Lorenzo Baldisseri is an Italian cardinal of the Roman Catholic Church who served as Secretary General of the Synod of Bishops under Pope Francis.
-
C.
Mario Castoldi
Mario Castoldi was an Italian aeronautical engineer best known for designing high-performance fighter aircraft for the Macchi company during the World War II era.
-
D.
Leo Rossi
Leo Rossi is an American character actor known for his supporting roles in crime dramas and thrillers in film and television.
-
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_69ad85793e5c8190a358049bc4a98d8c |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada0fea06881909e5251eea26599ac |
completed | March 8, 2026, 4:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b1f87bec6c8190ae928fc7c4467859 |
completed | March 11, 2026, 11:19 p.m. |
Created at: March 8, 2026, 3:02 p.m.