Triple
T14711103
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Loosies |
E345548
|
entity |
| Predicate | screenwriter |
P2831
|
FINISHED |
| Object | Peter Facinelli |
E69016
|
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: Peter Facinelli | Statement: [Loosies, screenwriter, Peter Facinelli]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Peter Facinelli Context triple: [Loosies, screenwriter, Peter Facinelli]
-
A.
Peter Facinelli
chosen
Peter Facinelli is an American actor best known for playing Dr. Carlisle Cullen in the Twilight film series.
-
B.
Gian Luca Gregori
Gian Luca Gregori is an Italian academic who serves as the rector of Marche Polytechnic University.
-
C.
Danielo Giovanni Travanti
Danielo Giovanni Travanti, better known as Daniel J. Travanti, is an American actor best known for his Emmy-winning role as Captain Frank Furillo on the television series "Hill Street Blues."
-
D.
Stefano Accorsi
Stefano Accorsi is an Italian actor known for his prominent roles in contemporary Italian cinema and television, including crime dramas and character-driven films.
-
E.
Giancarlo Giannini
Giancarlo Giannini is an acclaimed Italian actor and voice actor known for his intense performances in European cinema and international films, as well as for dubbing prominent Hollywood actors into Italian.
- 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_69fe7e79997c8190bb6f158d50603066 |
completed | May 9, 2026, 12:23 a.m. |
Created at: April 10, 2026, 1:28 a.m.