Triple
T8956776
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Red River |
E213489
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object | Coleen Gray |
E323178
|
NE FINISHED |
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: Coleen Gray | Statement: [Red River, starring, Coleen Gray]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Coleen Gray Context triple: [Red River, starring, Coleen Gray]
-
A.
Coleen Gray
chosen
Coleen Gray was an American film and television actress best known for her roles in classic 1940s and 1950s noir and Western films.
-
B.
Kathryn Crosby
Kathryn Crosby is an American actress and singer best known for her film and television work in the 1950s and 1960s and for being the second wife of entertainer Bing Crosby.
-
C.
Lisa Loring
Lisa Loring was an American actress best known for originating the role of Wednesday Addams as a child in the 1960s television adaptation of The Addams Family.
-
D.
Colleen Dewhurst
Colleen Dewhurst was a Canadian-American actress renowned for her powerful stage performances and acclaimed work in film and television, particularly in Eugene O’Neill plays and the series "Anne of Green Gables."
-
E.
Mary LaRoche
Mary LaRoche was an American actress and singer known for her work in mid-20th-century film, television, and Broadway productions.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69ca8399ad2081909f8fa41d4314c215 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc6728965881908e9f14aaee0c5a18 |
completed | April 1, 2026, 12:30 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d316e50b548190b5f90a9753ad7cb0 |
completed | April 6, 2026, 2:13 a.m. |
Created at: March 30, 2026, 7 p.m.