Triple
T20409686
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dylanesque |
E500555
|
entity |
| Predicate | track |
P17929
|
FINISHED |
| Object | Simple Twist of Fate |
—
|
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: Simple Twist of Fate | Statement: [Dylanesque, track, Simple Twist of Fate]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Simple Twist of Fate Context triple: [Dylanesque, track, Simple Twist of Fate]
-
A.
Simple Twist of Fate
chosen
"Simple Twist of Fate" is a reflective, narrative-driven song by Bob Dylan, known for its poignant storytelling and emotional depth.
-
B.
Twist
"Twist" is a novel by Swedish author Klas Östergren, known for its intricate storytelling and exploration of contemporary Swedish society.
-
C.
Twist
Twist is a fictional surname most notably borne by Jack Twist, a central character in Annie Proulx’s short story and the film adaptation "Brokeback Mountain."
-
D.
Twist
"Twist" is a modern film adaptation of Charles Dickens' classic novel "Oliver Twist," featuring Rafferty Law in a leading role.
-
E.
Twist & Turn
"Twist & Turn" is a popular dancehall track by Jamaican artist Popcaan, known for its smooth, melodic style and widespread international appeal.
- 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_69e0b4a935588190b9446a99b37ced44 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e67a3e0c1c8190be39d7f09c839dfa |
completed | April 20, 2026, 7:10 p.m. |
Created at: April 16, 2026, 11:29 a.m.