Triple
T14610408
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Last Seduction |
E342943
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object | Linda Fiorentino |
E460056
|
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: Linda Fiorentino | Statement: [The Last Seduction, starring, Linda Fiorentino]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Linda Fiorentino Context triple: [The Last Seduction, starring, Linda Fiorentino]
-
A.
Linda Fiorentino
chosen
Linda Fiorentino is an American actress known for her sharp, sultry screen presence in films such as "The Last Seduction" and "Men in Black."
-
B.
Amanda Burton
Amanda Burton is a Northern Irish actress best known for starring as forensic pathologist Dr. Sam Ryan in the British crime drama series "Silent Witness."
-
C.
Donna Peele
Donna Peele is an American former model best known for her brief mid-1990s marriage to actor Charlie Sheen.
-
D.
Lee Russo
Lee Russo is known as the spouse of American television host and film critic Ben Mankiewicz.
-
E.
Jennifer Tilly
Jennifer Tilly is an American actress and poker player known for her distinctive voice and roles in films such as "Bullets Over Broadway" and the "Child's Play" horror franchise.
- 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_69d822dec68081908c2553145c4051dc |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb44f0dd48190a78662b5998a6722 |
completed | April 14, 2026, 9:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fdfb78c0308190908ba791fd8dc40e |
completed | May 8, 2026, 3:04 p.m. |
Created at: April 10, 2026, 1:25 a.m.