Triple
T21957706
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zero Effect |
E542234
|
entity |
| Predicate | castMember |
P1668
|
FINISHED |
| Object | Kim Dickens |
—
|
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: Kim Dickens | Statement: [Zero Effect, castMember, Kim Dickens]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kim Dickens Context triple: [Zero Effect, castMember, Kim Dickens]
-
A.
Kim Dickens
chosen
Kim Dickens is an American actress known for her roles in television series such as Fear the Walking Dead, Deadwood, and Treme, as well as films like Gone Girl.
-
B.
AnnaLynne McCord
AnnaLynne McCord is an American actress and activist best known for her roles in television series like "90210" and "Nip/Tuck" and in various horror and thriller films.
-
C.
Tara Mae Thornton
Tara Mae Thornton is a fictional character from the television series "True Blood," known as Sookie Stackhouse’s outspoken and resilient best friend.
-
D.
Mare Winningham
Mare Winningham is an American actress and singer-songwriter known for her acclaimed work in film, television, and theater, including multiple Emmy-winning performances.
-
E.
Melinda Clarke
Melinda Clarke is an American actress best known for her roles in television series such as The O.C., Nikita, and CSI.
- 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_69e0c47fab1081908dc74a6545dbb051 |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f1244108948190a08e6966e55c4acd |
completed | April 28, 2026, 9:18 p.m. |
Created at: April 16, 2026, 8 p.m.