Triple
T17411777
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Cohens and Kellys |
E423382
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object | Kate Price |
—
|
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: Kate Price | Statement: [The Cohens and Kellys, starring, Kate Price]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kate Price Context triple: [The Cohens and Kellys, starring, Kate Price]
-
A.
Kate Price
chosen
Kate Price was an Irish-born American character actress known for her prolific work in silent and early sound films, often appearing in comedic and maternal roles.
-
B.
Kate Evans
Kate Evans is a film editor known for her work on the 1995 adaptation of Jane Austen's "Persuasion."
-
C.
Kathryn Price
Kathryn Price is a screenwriter best known for co-writing the family sports comedy film "The Game Plan."
-
D.
Emma Kane
Emma Kane is the daughter of Tom Kane, the powerful and ailing mayor at the center of the television series "Boss."
-
E.
Kay Piper
Kay Piper is the birth name of American actress Kathryn Hays, best known for her long-running role as Kim Hughes on the soap opera "As the World Turns."
- 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_69d889d7d27c819088486ce3f0627fa1 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e43b0b56788190ba012788f32afb78 |
completed | April 19, 2026, 2:16 a.m. |
Created at: April 10, 2026, 5:46 a.m.