Triple
T21687049
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mom |
E535255
|
entity |
| Predicate | castMember |
P1668
|
FINISHED |
| Object | Anna Faris |
—
|
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: Anna Faris | Statement: [Mom, castMember, Anna Faris]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Anna Faris Context triple: [Mom, castMember, Anna Faris]
-
A.
Anna Faris
chosen
Anna Faris is an American actress and comedian best known for her lead role in the Scary Movie film series and her work in both film and television comedy.
-
B.
Kristen Schaal
Kristen Schaal is an American actress, comedian, and voice artist known for her distinctive voice and roles in series like "Flight of the Conchords," "Bob's Burgers," and "The Last Man on Earth."
-
C.
Lisa Kudrow
Lisa Kudrow is an American actress, comedian, writer, and producer best known for playing Phoebe Buffay on the television sitcom "Friends."
-
D.
Kathryn Hahn
Kathryn Hahn is an American actress and comedian known for her versatile roles in film and television, including prominent work in comedies and voice acting.
-
E.
Christina Applegate
Christina Applegate is an American actress and comedian known for her roles in the sitcom "Married... with Children" and numerous film and television comedies.
- 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.