Triple
T14710934
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Peter Facinelli |
E345544
|
entity |
| Predicate | hasChild |
P369
|
FINISHED |
| Object | Luca Bella Facinelli |
E1115116
|
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: Luca Bella Facinelli | Statement: [Peter Facinelli, hasChild, Luca Bella Facinelli]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Luca Bella Facinelli Context triple: [Peter Facinelli, hasChild, Luca Bella Facinelli]
-
A.
Luca Bella Facinelli
chosen
Luca Bella Facinelli is the daughter of American actress Jennie Garth and actor Peter Facinelli.
-
B.
Fabrizio Gifuni
Fabrizio Gifuni is an Italian actor known for his intense, character-driven performances in film, television, and theater.
-
C.
Edoardo Gabbriellini
Edoardo Gabbriellini is an Italian actor and film director known for his work in contemporary Italian cinema.
-
D.
Gianmarco Tognazzi
Gianmarco Tognazzi is an Italian actor, son of famed comedian Ugo Tognazzi, known for his work in both film and television.
-
E.
Gian Luca Gregori
Gian Luca Gregori is an Italian academic who serves as the rector of Marche Polytechnic University.
- 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_69d822e4a8c08190a155df736bb7bc13 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb9814e0c8190984ac30d276499cc |
completed | April 14, 2026, 10:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe0ce17f688190a86979cca8b88494 |
completed | May 8, 2026, 4:18 p.m. |
Created at: April 10, 2026, 1:28 a.m.