Triple
T14710946
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jennie Garth |
E345544
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object | Peter Facinelli (1997–2013) |
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 (1997–2013) | Statement: [Jennie Garth, spouse, Peter Facinelli (1997–2013)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Peter Facinelli (1997–2013) Context triple: [Jennie Garth, spouse, Peter Facinelli (1997–2013)]
-
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.
James Farentino
James Farentino was an American actor known for his work in film and television from the 1960s onward, often appearing in dramas and crime series.
-
D.
Mark Bacci
Mark Bacci is a television writer and producer best known for co-creating the Canadian family drama series "Northern Rescue."
-
E.
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.
- 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_69fe64ee4284819093db172023e9fe87 |
completed | May 8, 2026, 10:34 p.m. |
Created at: April 10, 2026, 1:28 a.m.