Triple
T19336025
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Scarecrow |
E483625
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object | Dorothy Tristan |
—
|
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: Dorothy Tristan | Statement: [Scarecrow, starring, Dorothy Tristan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dorothy Tristan Context triple: [Scarecrow, starring, Dorothy Tristan]
-
A.
Dorothy Tristan
chosen
Dorothy Tristan was an American actress and screenwriter known for her work in independent films and her collaborations with director John D. Hancock.
-
B.
Dorothy Comingore
Dorothy Comingore was an American film actress best known for her acclaimed performance as Susan Alexander Kane in Orson Welles's classic film "Citizen Kane."
-
C.
Dorothy Trosper
Dorothy Trosper was the wife of American screenwriter and producer Guy Trosper.
-
D.
Dorothy Revier
Dorothy Revier was an American silent and early sound film actress known for her roles in adventure and drama films of the 1920s and 1930s.
-
E.
Dorothy Kirsten
Dorothy Kirsten was an American operatic soprano renowned for her long career at the Metropolitan Opera and her appearances in popular films such as "The Great Caruso."
- 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_69d8e8d13e3c81909d91d1d5ec37c095 |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e61645c0dc8190b64e15c735bcb9f4 |
completed | April 20, 2026, 12:04 p.m. |
Created at: April 10, 2026, 1:33 p.m.