Triple
T9970226
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Certain Women |
E196183
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object | Rosanna Arquette |
E340706
|
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: Rosanna Arquette | Statement: [Certain Women, starring, Rosanna Arquette]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rosanna Arquette Context triple: [Certain Women, starring, Rosanna Arquette]
-
A.
Rosanna Arquette
chosen
Rosanna Arquette is an American actress and filmmaker known for her roles in films such as "Desperately Seeking Susan" and "Pulp Fiction."
-
B.
Luana Patten
Luana Patten was an American child actress best known for her early work in Walt Disney films during the 1940s and 1950s.
-
C.
Teresa Ganzel
Teresa Ganzel is an American actress and comedian best known for her frequent appearances on The Tonight Show Starring Johnny Carson and her roles in 1980s comedies and voice acting.
-
D.
Donna Peele
Donna Peele is an American former model best known for her brief mid-1990s marriage to actor Charlie Sheen.
-
E.
Teri Garr
Teri Garr is an American actress known for her versatile performances in films such as "Young Frankenstein," "Close Encounters of the Third Kind," and "Tootsie."
- 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_69ca82eea2b88190a0e511d21a31f386 |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cdb7b7ea9881908a56f11e2e446dd0 |
completed | April 2, 2026, 12:26 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d23dca14d081909573e91a576921c9 |
completed | April 5, 2026, 10:47 a.m. |
Created at: March 30, 2026, 8:48 p.m.