Triple
T22760284
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Frankie Vaughan |
E562966
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | The Garden of Eden |
—
|
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 Garden of Eden | Statement: [Frankie Vaughan, notableWork, The Garden of Eden]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: The Garden of Eden Context triple: [Frankie Vaughan, notableWork, The Garden of Eden]
-
A.
The Garden of Eden
chosen
The Garden of Eden is a posthumously published novel by Ernest Hemingway that explores themes of gender, identity, and creative obsession within a tumultuous marital relationship.
-
B.
Garden of Eden
The Garden of Eden is the biblical paradise where the first humans, Adam and Eve, lived in innocence before their expulsion.
-
C.
Garden of Eden
The Garden of Eden is a section within Mount Sinai Memorial Park Cemetery, likely designed as a thematically serene and symbolic burial area.
-
D.
The Fall of Man
The Fall of Man is the biblical story describing how Adam and Eve’s disobedience in Eden introduced sin and suffering into the human condition.
-
E.
Eveless Eden
Eveless Eden is a novel by American author Marianne Wiggins that blends literary fiction with political and historical themes.
- 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_69e24552e11c81909c2d61578a558bd7 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17a7c45b881908b29ba1439038789 |
completed | April 29, 2026, 3:26 a.m. |
Created at: April 17, 2026, 3:26 p.m.