Triple
T22171740
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The General Died at Dawn |
E547935
|
entity |
| Predicate | editedBy |
P1954
|
FINISHED |
| Object | Eda 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: Eda Warren | Statement: [The General Died at Dawn, editedBy, Eda Warren]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Eda Warren Context triple: [The General Died at Dawn, editedBy, Eda Warren]
-
A.
Eda Warren
chosen
Eda Warren was a British film editor known for her work on numerous mid-20th-century films.
-
B.
Gertrude Warren
Gertrude Warren was the wife of American actor and musician Preston Foster.
-
C.
Nora Prentiss
Nora Prentiss is a 1947 film noir drama centered on a nightclub singer whose affair with a married doctor leads to deception and tragedy.
-
D.
Enid Underwood
Enid Underwood is a character from the webcomic "Strife," known for her involvement in the story’s central conflicts and relationships.
-
E.
Dolores Avery
Dolores Avery is the mother of Steven Avery, prominently featured in the true-crime documentary series "Making a Murderer" for her steadfast support of her son amid his legal battles.
- 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_69e11e3d53f88190a2b690e3f25bb062 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f12a68c26c8190b1258595bd96cb63 |
completed | April 28, 2026, 9:45 p.m. |
Created at: April 16, 2026, 8:34 p.m.