Triple
T8449339
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Four Rooms |
E199761
|
entity |
| Predicate | stars |
P1956
|
FINISHED |
| Object | Marisa Tomei |
E262040
|
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: Marisa Tomei | Statement: [Four Rooms, stars, Marisa Tomei]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Marisa Tomei Context triple: [Four Rooms, stars, Marisa Tomei]
-
A.
Marisa Tomei
chosen
Marisa Tomei is an Academy Award–winning American actress known for her versatile film and television roles, including portraying Aunt May in the Marvel Cinematic Universe.
-
B.
Mira Sorvino
Mira Sorvino is an American actress and Academy Award winner known for her versatile performances in film and television.
-
C.
Janeane Garofalo
Janeane Garofalo is an American stand-up comedian, actress, and political activist known for her sharp, sardonic wit and roles in films like "Reality Bites" and "The Truth About Cats & Dogs."
-
D.
Lorraine Bracco
Lorraine Bracco is an American actress best known for her roles in the film "Goodfellas" and the television series "The Sopranos."
-
E.
Annabella Sciorra
Annabella Sciorra is an American actress known for her work in film and television, including acclaimed roles in movies like "Jungle Fever" and the TV series "The Sopranos."
- 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_69ca83170f9081909cd98f55614c6476 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe445b7988190b53ae45070c70d1d |
completed | March 31, 2026, 3:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce1dc85e48819083340d022d0dba9b |
completed | April 2, 2026, 7:42 a.m. |
Created at: March 30, 2026, 6:09 p.m.