Triple
T12498554
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Charles Vidor |
E298753
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object | Evelyn Keyes |
E322735
|
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: Evelyn Keyes | Statement: [Charles Vidor, spouse, Evelyn Keyes]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Evelyn Keyes Context triple: [Charles Vidor, spouse, Evelyn Keyes]
-
A.
Evelyn Keyes
chosen
Evelyn Keyes was an American film actress best known for her role as Suellen O'Hara in the classic 1939 film "Gone with the Wind."
-
B.
Helen Chandler
Helen Chandler was an American stage and film actress best known for her portrayal of Mina Seward in the 1931 horror classic "Dracula."
-
C.
Linda Harrison
Linda Harrison is an American actress best known for her role as Nova in the original "Planet of the Apes" films.
-
D.
Ora Baxter
Ora Baxter is the mother of Jody Baxter, a central character in Marjorie Kinnan Rawlings' classic novel "The Yearling."
-
E.
Ora Baxter
Ora Baxter is a fictional character portrayed by actress Jane Wyman, likely featured in a mid-20th-century film or television production.
- 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_69d6ada4cd388190ae3bbf83ff87057a |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d94dfa98348190b9ac164ecdada6fe |
completed | April 10, 2026, 7:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f75d78433081909ae0278e9e1abacb |
completed | May 3, 2026, 2:36 p.m. |
Created at: April 8, 2026, 9:57 p.m.