Triple
T22768577
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Color of Night |
E563191
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object | Lesley Ann Warren |
—
|
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: Lesley Ann Warren | Statement: [Color of Night, starring, Lesley Ann Warren]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lesley Ann Warren Context triple: [Color of Night, starring, Lesley Ann Warren]
-
A.
Lesley Ann Warren
chosen
Lesley Ann Warren is an American actress and singer known for her work in film, television, and musical theater, including prominent roles in 1960s musicals and later acclaimed performances in movies and TV series.
-
B.
Tyne Daly
Tyne Daly is an American actress acclaimed for her powerful performances in television dramas, film, and theater, including her iconic role in the series "Cagney & Lacey."
-
C.
Lee Russo
Lee Russo is known as the spouse of American television host and film critic Ben Mankiewicz.
-
D.
Nancy Kyes
Nancy Kyes is an American actress best known for her roles in John Carpenter films, including the original Halloween and Assault on Precinct 13.
-
E.
Deborah Rush
Deborah Rush is an American actress known for her character roles in film, television, and theater, including appearances in comedies and independent 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_69e24552e11c81909c2d61578a558bd7 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17b59c9cc8190a6edd68f3209a672 |
completed | April 29, 2026, 3:30 a.m. |
Created at: April 17, 2026, 3:27 p.m.