Triple
T11380173
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gone with the Wind |
E269572
|
entity |
| Predicate | hasCharacter |
P2308
|
FINISHED |
| Object | Prissy |
E887492
|
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: Prissy | Statement: [Gone with the Wind, hasCharacter, Prissy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Prissy Context triple: [Gone with the Wind, hasCharacter, Prissy]
-
A.
Prissy
chosen
Prissy is a young enslaved house servant in Margaret Mitchell’s novel "Gone with the Wind," known for her fearful demeanor and memorable lines in the story.
-
B.
Prissy
Prissy is a diminutive nickname for the given name Priscilla, often used as an affectionate or informal form.
-
C.
Sissy
Sissy is a fictional character from the horror film "The Grave," known for her involvement in the movie’s dark, suspenseful storyline.
-
D.
Miss Prym
Miss Prym is the central protagonist of Paulo Coelho’s novel "The Devil and Miss Prym," a young woman in a small village who becomes embroiled in a moral dilemma when confronted with a stranger’s dark proposal.
-
E.
Miss Prissy
Miss Prissy is a shy, spinster hen from the Looney Tunes cartoons, best known for her bonnet, spectacles, and recurring appearances alongside Foghorn Leghorn.
- 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.