Triple
T20388813
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Other Woman |
E498029
|
entity |
| Predicate | castMember |
P1668
|
FINISHED |
| Object | Taylor 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: Taylor Kinney | Statement: [The Other Woman, castMember, Taylor Kinney]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Taylor Kinney Context triple: [The Other Woman, castMember, Taylor Kinney]
-
A.
Taylor Kinney
chosen
Taylor Kinney is an American actor and model best known for his role as Lieutenant Kelly Severide on the television series "Chicago Fire."
-
B.
Drew Van Acker
Drew Van Acker is an American actor best known for his roles on television series such as "Pretty Little Liars" and "Devious Maids."
-
C.
Hartley Sawyer
Hartley Sawyer is an American actor best known for playing Ralph Dibny, the Elongated Man, on the television series "The Flash."
-
D.
Ben McKenzie
Ben McKenzie is an American actor best known for his leading roles on the television series The O.C. and Gotham.
-
E.
Jaime Pressly
Jaime Pressly is an American actress and model best known for her Emmy-winning role as Joy Turner on the television sitcom "My Name Is Earl."
- 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_69e0b4a71ebc8190b153a36c738730f4 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6790d9e5881908bde7da9e5e541a0 |
completed | April 20, 2026, 7:05 p.m. |
Created at: April 16, 2026, 11:28 a.m.