Triple
T20561846
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ken Kercheval |
E504860
|
entity |
| Predicate | coStarredWith |
P14987
|
FINISHED |
| Object | Linda Gray |
—
|
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: Linda Gray | Statement: [Ken Kercheval, coStarredWith, Linda Gray]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Linda Gray Context triple: [Ken Kercheval, coStarredWith, Linda Gray]
-
A.
Linda Gray
Linda Gray is the longtime wife of Bee Gees singer Barry Gibb, known for her enduring marriage to the music icon since the 1970s.
-
B.
Linda Gray
chosen
Linda Gray is an American actress best known for her role as Sue Ellen Ewing on the long-running television series "Dallas."
-
C.
Linda Gray Sexton
Linda Gray Sexton is an American writer and memoirist known for her novels and for editing and chronicling the life and work of her mother, poet Anne Sexton.
-
D.
Vera Miles
Vera Miles is an American actress best known for her roles in classic Alfred Hitchcock films, including "Psycho" and "The Wrong Man."
-
E.
Anita Louise
Anita Louise was an American film and television actress best known for her delicate, ethereal screen presence in 1930s Hollywood productions.
- 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_69e0b4b6587c8190aee63dc7cff244ea |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6a79ec10481909740eb6a08ae2658 |
completed | April 20, 2026, 10:24 p.m. |
Created at: April 16, 2026, 11:39 a.m.