Triple
T12333623
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Scream 3 |
E294023
|
entity |
| Predicate | stars |
P1956
|
FINISHED |
| Object | Jenny McCarthy |
E582591
|
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: Jenny McCarthy | Statement: [Scream 3, stars, Jenny McCarthy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jenny McCarthy Context triple: [Scream 3, stars, Jenny McCarthy]
-
A.
Jenny McCarthy Wahlberg
chosen
Jenny McCarthy Wahlberg is an American actress, model, and television personality known for her comedic roles, outspoken advocacy on health issues, and long-running work as a reality and game show panelist.
-
B.
Kathy Griffin
Kathy Griffin is an American stand-up comedian and actress known for her sharp, often controversial humor and frequent television appearances.
-
C.
Susan Leary
Susan Leary is one of the children of Timothy Leary, the influential American psychologist and advocate of psychedelic drugs.
-
D.
Roseanne Barr
Roseanne Barr is an American comedian, actress, writer, and television producer best known for creating and starring in the groundbreaking sitcom "Roseanne."
-
E.
Katherine Kelly
Katherine Kelly is a British actress best known for her roles in television dramas such as "Coronation Street" and "Mr Selfridge."
- 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_69d6ab6ae0dc8190b1522a9c1c55c114 |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d93f64ad20819080d99e57833b4b51 |
completed | April 10, 2026, 6:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f62aa367348190b3991f256586a331 |
completed | May 2, 2026, 4:47 p.m. |
Created at: April 8, 2026, 9:53 p.m.