Triple
T18823941
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Conviction |
E460334
|
entity |
| Predicate | castMember |
P1668
|
FINISHED |
| Object | Emily Kinney |
—
|
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: Emily Kinney | Statement: [Conviction, castMember, Emily Kinney]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Emily Kinney Context triple: [Conviction, castMember, Emily Kinney]
-
A.
Emily Kinney
chosen
Emily Kinney is an American actress and singer best known for her role as Beth Greene on the television series "The Walking Dead."
-
B.
Laura Marano
Laura Marano is an American actress and singer best known for starring as Ally Dawson on the Disney Channel series "Austin & Ally."
-
C.
Natalie Bridges
Natalie Bridges is the wife of New Zealand politician and former National Party leader Simon Bridges.
-
D.
Kristen Dohring
Kristen Dohring is an actress best known for playing Chrissy Seaver on the television sitcom "Growing Pains."
-
E.
Taryn Van Dyke
Taryn Van Dyke is a member of the Van Dyke family, known for its multi-generational involvement in American film and television.
- 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_69d8dcf94c288190a06dea029ae4b223 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5a6bce5588190bd0aefcd0c51edad |
completed | April 20, 2026, 4:08 a.m. |
Created at: April 10, 2026, 11:56 a.m.