Triple
T20161933
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Red Mill |
E491727
|
entity |
| Predicate | hasCharacter |
P2308
|
FINISHED |
| Object | Gretchen |
—
|
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: Gretchen | Statement: [The Red Mill, hasCharacter, Gretchen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gretchen Context triple: [The Red Mill, hasCharacter, Gretchen]
-
A.
Gretchen
Gretchen is the given name of Gretchen C. Daily, an influential American ecologist and environmental scientist known for her work on biodiversity conservation and ecosystem services.
-
B.
Gretchen
chosen
Gretchen is a feminine given name, traditionally used in German-speaking regions and often recognized as a diminutive form of Margaret.
-
C.
Gretchen
Gretchen is a character in the satirical horror-thriller film "Velvet Buzzsaw," which explores the dark side of the contemporary art world.
-
D.
Gretchen's Forty Winks
"Gretchen's Forty Winks" is a short story by F. Scott Fitzgerald, included in his 1926 collection All the Sad Young Men.
-
E.
Frau Fluth
Frau Fluth is a central comic heroine in Otto Nicolai’s opera "The Merry Wives of Windsor," known for her clever schemes to outwit the lecherous Sir John Falstaff.
- 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_69da6266c6888190bc1a3ecf24814d34 |
completed | April 11, 2026, 3:01 p.m. |
| NER | Named-entity recognition | batch_69e667e505888190a05e26a3c5a0ede1 |
completed | April 20, 2026, 5:52 p.m. |
Created at: April 11, 2026, 11:34 p.m.