Triple
T13700987
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Burning Hearts |
E328515
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object | Riccardo Scamarcio |
E65179
|
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: Riccardo Scamarcio | Statement: [Burning Hearts, starring, Riccardo Scamarcio]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Riccardo Scamarcio Context triple: [Burning Hearts, starring, Riccardo Scamarcio]
-
A.
Riccardo Scamarcio
chosen
Riccardo Scamarcio is an Italian actor and film producer known for his roles in both Italian cinema and international films such as "John Wick: Chapter 2."
-
B.
Luca Marinelli
Luca Marinelli is an acclaimed Italian actor known for his versatile performances in European cinema and international films such as "The Old Guard."
-
C.
Gianmarco Tognazzi
Gianmarco Tognazzi is an Italian actor, son of famed comedian Ugo Tognazzi, known for his work in both film and television.
-
D.
Fabrizio Gifuni
Fabrizio Gifuni is an Italian actor known for his intense, character-driven performances in film, television, and theater.
-
E.
Fabio Troiano
Fabio Troiano is an Italian actor known for his work in film, television, and theater.
- 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_69d8076ff62081908a7bd79889edd7a0 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbc879adc88190b03f1cf815b71061 |
completed | April 12, 2026, 4:29 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd3cfae6bc8190ac6851a3fa2dfb12 |
completed | May 8, 2026, 1:31 a.m. |
Created at: April 9, 2026, 9:54 p.m.