Triple
T9377240
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Twisted |
E225679
|
entity |
| Predicate | title |
P38
|
FINISHED |
| Object | Twisted |
E769878
|
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: Twisted | Statement: [Twisted, title, Twisted]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Twisted Context triple: [Twisted, title, Twisted]
-
A.
Twisted
Twisted is a track from Joni Mitchell’s acclaimed 1974 album "Court and Spark," known for its jazzy style and witty, sardonic lyrics.
-
B.
Twisted
chosen
"Twisted" is a 1996 R&B slow jam by Keith Sweat, known for its smooth groove, romantic lyrics, and status as one of his biggest hits.
-
C.
The Twisted Ones
The Twisted Ones is a horror novel by T. Kingfisher that blends Southern Gothic atmosphere with cosmic terror as a woman clearing out her late grandmother’s house uncovers a sinister, otherworldly presence.
-
D.
Twist
"Twist" is a modern film adaptation of Charles Dickens' classic novel "Oliver Twist," featuring Rafferty Law in a leading role.
-
E.
The Twisted Thing
The Twisted Thing is a hardboiled detective novel by Mickey Spillane featuring his iconic private investigator Mike Hammer in a gritty crime investigation.
- 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_69ca842d8ee88190aaaa639aa953185d |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd50ab658c8190b23b2a97d15bb3f1 |
completed | April 1, 2026, 5:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d100d976d481909502901cec1fc83f |
completed | April 4, 2026, 12:15 p.m. |
Created at: March 30, 2026, 7:44 p.m.