Triple
T2459277
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Moonstruck |
E54492
|
entity |
| Predicate | mainCharacter |
P1183
|
FINISHED |
| Object |
Ronny Cammareri
Ronny Cammareri is a passionate, hot-headed Brooklyn baker portrayed by Nicolas Cage in the romantic comedy film "Moonstruck."
|
E268018
|
NE FINISHED |
How this triple was built (4 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: Ronny Cammareri | Statement: [Moonstruck, mainCharacter, Ronny Cammareri]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ronny Cammareri Context triple: [Moonstruck, mainCharacter, Ronny Cammareri]
-
A.
Peter Scolari
Peter Scolari was an American actor best known for his comedic and character roles on television series such as "Bosom Buddies" and "Newhart."
-
B.
Sergio Chiamparino
Sergio Chiamparino is an Italian politician best known for serving as Mayor of Turin and President of the Piedmont region.
-
C.
Fernando Donis
Fernando Donis is a Mexican architect known for designing prominent landmark structures, including the iconic Dubai Frame.
-
D.
Bruno Forte
Bruno Forte is an Italian Roman Catholic theologian and archbishop known for his influential role in contemporary Church theology and participation in major synodal assemblies.
-
E.
Leo Rossi
Leo Rossi is an American character actor known for his supporting roles in crime dramas and thrillers in film and television.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Ronny Cammareri Triple: [Moonstruck, mainCharacter, Ronny Cammareri]
Generated description
Ronny Cammareri is a passionate, hot-headed Brooklyn baker portrayed by Nicolas Cage in the romantic comedy film "Moonstruck."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ronny Cammareri Target entity description: Ronny Cammareri is a passionate, hot-headed Brooklyn baker portrayed by Nicolas Cage in the romantic comedy film "Moonstruck."
-
A.
Peter Scolari
Peter Scolari was an American actor best known for his comedic and character roles on television series such as "Bosom Buddies" and "Newhart."
-
B.
Sergio Chiamparino
Sergio Chiamparino is an Italian politician best known for serving as Mayor of Turin and President of the Piedmont region.
-
C.
Fernando Donis
Fernando Donis is a Mexican architect known for designing prominent landmark structures, including the iconic Dubai Frame.
-
D.
Bruno Forte
Bruno Forte is an Italian Roman Catholic theologian and archbishop known for his influential role in contemporary Church theology and participation in major synodal assemblies.
-
E.
Leo Rossi
Leo Rossi is an American character actor known for his supporting roles in crime dramas and thrillers in film and television.
- F. None of above. chosen
Provenance (5 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_69ab49dee84c819096b50a0049c347ac |
completed | March 6, 2026, 9:40 p.m. |
| NER | Named-entity recognition | batch_69abd10a35f88190b102a2cb5c88146e |
completed | March 7, 2026, 7:17 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69aef0cff4248190832f75ce36a357e2 |
completed | March 9, 2026, 4:09 p.m. |
| NEDg | Description generation | batch_69aef186935c81909301659a96e1a4e2 |
completed | March 9, 2026, 4:12 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69aef8272668819084626e890a49e1b3 |
completed | March 9, 2026, 4:41 p.m. |
Created at: March 6, 2026, 9:44 p.m.