Triple
T20287398
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Magic |
E509921
|
entity |
| Predicate | title |
P38
|
FINISHED |
| Object | Magic |
—
|
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: Magic | Statement: [Magic, title, Magic]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Magic Context triple: [Magic, title, Magic]
-
A.
Magic
Magic is a 1978 psychological horror film about a troubled ventriloquist whose relationship with his sinister dummy spirals into violence, featuring a celebrated performance by Anthony Hopkins.
-
B.
Magic
Magic is a professional NBA basketball team based in Orlando, Florida, known as the Orlando Magic.
-
C.
Magic
"Magic" is a 2022 hip-hop single by Vince Staples featuring Mustard, known for its smooth, laid-back production and reflective lyrics about success and street life.
-
D.
Magic
"Magic" is a 1974 soft rock song by the Scottish band Pilot, best known for its catchy melody and enduring popularity on classic rock and pop radio.
-
E.
Magic
chosen
Magic is a supernatural force or practice involving the manipulation of unseen powers to produce extraordinary or seemingly impossible effects.
- 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_69e0b4c652388190b782cad965e5a098 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e676931fe08190b278d829a745701f |
completed | April 20, 2026, 6:55 p.m. |
Created at: April 16, 2026, 11:08 a.m.