Triple
T18252720
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vas Blackwood |
E437135
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Mean Machine |
—
|
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: Mean Machine | Statement: [Vas Blackwood, notableWork, Mean Machine]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mean Machine Context triple: [Vas Blackwood, notableWork, Mean Machine]
-
A.
Mean Machine
chosen
Mean Machine is a 2001 British sports comedy film about a disgraced footballer who leads a team of prison inmates in a high-stakes match against their guards.
-
B.
This Machine
"This Machine" is a 2012 studio album by American alternative rock band The Dandy Warhols, noted for its darker, more stripped-down sound compared to their earlier work.
-
C.
Me the Machine
"Me the Machine" is an electronic pop song by British musician Imogen Heap, released under her project Sparks.
-
D.
Good Machine
Good Machine was an influential independent film production company known for backing acclaimed American art-house and international films in the 1990s.
-
E.
“Mean Machine”
“Mean Machine” is a track featured on the 1983 heavy metal compilation album *This Is Madness*.
- 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_69d8b91104e08190a8241f7d260a5162 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4fd81ea3481909d96b5399f7a32b3 |
completed | April 19, 2026, 4:06 p.m. |
Created at: April 10, 2026, 10:33 a.m.