Triple
T23318596
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Men in Black II |
E590782
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object | Lara Flynn Boyle |
—
|
NE NERFINISHED |
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: Lara Flynn Boyle | Statement: [Men in Black II, starring, Lara Flynn Boyle]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lara Flynn Boyle Context triple: [Men in Black II, starring, Lara Flynn Boyle]
-
A.
Lara Flynn Boyle
chosen
Lara Flynn Boyle is an American actress best known for her role as Donna Hayward in the television series "Twin Peaks" and for her work in films and other TV dramas throughout the 1990s and 2000s.
-
B.
Leslie Bega
Leslie Bega is an American actress best known for her roles on television series such as "Head of the Class" and "The Sopranos."
-
C.
Carla Gugino
Carla Gugino is an American actress known for her versatile film and television roles, including prominent performances in projects like "Spy Kids," "Sin City," and "The Haunting of Hill House."
-
D.
Rebecca Tilly
Rebecca Tilly is a member of the Tilly family and the sister of actress and author Meg Tilly.
-
E.
Catherine Bell
Catherine Bell is a British former Olympic rower who competed for Great Britain in the 1990s.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e25d1d32188190948eb76909d1dcc3 |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f1978372948190bad066893c4e0768 |
completed | April 29, 2026, 5:30 a.m. |
Created at: April 17, 2026, 5:07 p.m.