Triple
T21687064
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mom |
E535255
|
entity |
| Predicate | castMember |
P1668
|
FINISHED |
| Object | Sara Rue |
—
|
NE NERFINISHED |
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: Sara Rue | Statement: [Mom, castMember, Sara Rue]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sara Rue Context triple: [Mom, castMember, Sara Rue]
-
A.
Sara Rue
chosen
Sara Rue is an American actress known for her comedic and dramatic roles in television series such as "Less than Perfect," "Popular," and numerous sitcoms and films.
-
B.
Sara Shane
Sara Shane was an American film and television actress best known for her roles in 1950s Hollywood dramas and adventure films.
-
C.
Sara Risher
Sara Risher is a film and television producer best known for her work on horror projects, including serving as an executive at New Line Cinema during the height of the A Nightmare on Elm Street franchise.
-
D.
Sara Parriott
Sara Parriott is an American screenwriter best known for co-writing popular films such as the romantic comedy "Runaway Bride."
-
E.
Betsy Rue
Betsy Rue is an American actress best known for her roles in horror and thriller films, including her appearance in the slasher movie "My Bloody Valentine 3D."
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0c469b6ec8190aee4cadd1527db91 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69ef96cc31b8819086ca980521f94501 |
completed | April 27, 2026, 5:03 p.m. |
Created at: April 16, 2026, 6:44 p.m.