Triple
T11380151
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gone with the Wind |
E269572
|
entity |
| Predicate | mainCharacter |
P1183
|
FINISHED |
| Object | Scarlett O'Hara |
E48313
|
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: Scarlett O'Hara | Statement: [Gone with the Wind, mainCharacter, Scarlett O'Hara]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Scarlett O'Hara Context triple: [Gone with the Wind, mainCharacter, Scarlett O'Hara]
-
A.
Scarlett O'Hara
chosen
Scarlett O'Hara is the strong-willed, manipulative Southern belle who serves as the central heroine of Margaret Mitchell's Civil War–era novel "Gone with the Wind."
-
B.
Scarlett
Scarlett is the given name of American actress Scarlett Johansson, a prominent Hollywood star known for roles in films like "Lost in Translation" and the Marvel Cinematic Universe.
-
C.
Scarlett
Scarlett is a fictional burlesque performer character associated with The Burlesque Lounge setting.
-
D.
Scarlett Curtis
Scarlett Curtis is a British writer, activist, and feminist known for her work on mental health advocacy and for editing the bestselling anthology "Feminists Don't Wear Pink (and Other Lies)."
-
E.
Daisy Grant
Daisy Grant is a fictional press coordinator and later press secretary in the U.S. State Department on the political drama television series "Madam Secretary."
- 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_69d6aacca1048190b39dbbc2174616fa |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7fc331f188190a7f69f1aae53fb6b |
completed | April 9, 2026, 7:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e556a99c8c8190b7439a548216e648 |
completed | April 19, 2026, 10:26 p.m. |
Created at: April 8, 2026, 9:34 p.m.