Triple
T21610091
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Green Rust (1920 film) |
E533280
|
entity |
| Predicate | basedOn |
P98
|
FINISHED |
| Object | The Green Rust (novel) |
—
|
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: The Green Rust (novel) | Statement: [The Green Rust (1920 film), basedOn, The Green Rust (novel)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: The Green Rust (novel) Context triple: [The Green Rust (1920 film), basedOn, The Green Rust (novel)]
-
A.
The Green Rust
chosen
The Green Rust is a 1919 crime thriller novel by Edgar Wallace involving a sinister plot to destroy the world’s wheat supply.
-
B.
The Green One
The Green One is an epithet of the ancient Egyptian cobra goddess Wadjet, who served as a protective deity and symbol of royal authority, especially associated with Lower Egypt and the pharaoh.
-
C.
The Green
The Green is a historic central park and community gathering space located in downtown Morristown, New Jersey.
-
D.
The Green
The Green is a historic central public square in Dover, Delaware, known for its colonial-era buildings and role in early American political and civic life.
-
E.
The Green
The Green is a small rural settlement in Cumbria, England, situated near the town of Millom in the southwestern Lake District area.
- 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_69e0c46411108190bba0d4176dffc9f3 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69ef17e7d1388190922a90cb91ec9fc4 |
completed | April 27, 2026, 8:01 a.m. |
Created at: April 16, 2026, 6:33 p.m.