Triple
T15311743
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dazed and Confused |
E366053
|
entity |
| Predicate | castMember |
P1668
|
FINISHED |
| Object | Marissa Ribisi |
E189418
|
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: Marissa Ribisi | Statement: [Dazed and Confused, castMember, Marissa Ribisi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Marissa Ribisi Context triple: [Dazed and Confused, castMember, Marissa Ribisi]
-
A.
Marissa Ribisi
chosen
Marissa Ribisi is an American actress known for her roles in films like "Dazed and Confused" and "Pleasantville."
-
B.
Juliette Lewis
Juliette Lewis is an American actress and singer known for her intense, offbeat performances in films such as "Cape Fear," "Natural Born Killers," and numerous independent productions.
-
C.
Eve Lockhart
Eve Lockhart is a forensic pathologist character in the British crime drama series "Waking the Dead," known for her expertise in post-mortem analysis and involvement in solving cold cases.
-
D.
Madison Lintz
Madison Lintz is an American actress best known for her role as Maddie Bosch in the television crime drama series "Bosch."
-
E.
Lacey Chabert
Lacey Chabert is an American actress and voice actress best known for her roles in the film "Mean Girls," numerous Hallmark Channel movies, and early voice work in animated series.
- 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_69d85a113ee881908e297a1d38dd79fa |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03cd2d5a88190aead748920f93d47 |
completed | April 16, 2026, 1:35 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff21945b60819098ea91d9693cb8e3 |
completed | May 9, 2026, 11:59 a.m. |
Created at: April 10, 2026, 3:16 a.m.