Triple
T10493726
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dressed to Kill |
E247481
|
entity |
| Predicate | hasCastMember |
P2308
|
FINISHED |
| Object | Nancy Allen |
E278479
|
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: Nancy Allen | Statement: [Dressed to Kill, hasCastMember, Nancy Allen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nancy Allen Context triple: [Dressed to Kill, hasCastMember, Nancy Allen]
-
A.
Nancy Allen
chosen
Nancy Allen is an American actress best known for her roles in films such as "Carrie," "Dressed to Kill," and the "RoboCop" series.
-
B.
Alley Mills
Alley Mills is an American actress best known for her role as Norma Arnold, the mother on the classic television series "The Wonder Years."
-
C.
Anne Meara
Anne Meara was an American actress and comedian, best known as half of the comedy duo Stiller and Meara and for her extensive work in television, film, and theater.
-
D.
Joan Allen
Joan Allen is an acclaimed American actress known for her versatile performances in film, television, and theater, including prominent roles in dramas and political thrillers.
-
E.
Danielle Kaye
Danielle Kaye is known as the spouse of British film director and music video creator Tony Kaye.
- 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_69d381c309b88190af78aa681cf6a4c2 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d5097fe2bc81909d66ce43f3533284 |
completed | April 7, 2026, 1:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69de550705788190bd35b9763b44f546 |
completed | April 14, 2026, 2:53 p.m. |
Created at: April 6, 2026, 12:24 p.m.