Triple
T22033219
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tang Wei |
E544135
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Monster Hunt 2 |
—
|
NE NERFINISHED |
How this triple was built (3 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: Monster Hunt 2 | Statement: [Tang Wei, notableWork, Monster Hunt 2]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Monster Hunt 2 Context triple: [Tang Wei, notableWork, Monster Hunt 2]
-
A.
Monster Hunt
Monster Hunt is a popular Chinese fantasy-comedy film that blends live-action and CGI to tell a whimsical story about humans and monsters coexisting.
-
B.
Monsters: Dark Continent
Monsters: Dark Continent is a 2014 British science fiction monster film that serves as a sequel to the 2010 film Monsters, exploring military conflict and alien creatures in a Middle Eastern war zone.
-
C.
Walking with Monsters
Walking with Monsters is a BBC documentary series that uses CGI reconstructions to depict life on Earth before the age of the dinosaurs, focusing on prehistoric creatures from the Paleozoic era.
-
D.
The Monster Club
The Monster Club is a 1980 British horror-comedy anthology film featuring Vincent Price and John Carradine, blending campy monster tales with nightclub musical interludes.
-
E.
Monster Monster
"Monster Monster" is an album by the American Christian rock band The Almost, showcasing their energetic blend of alternative rock and post-hardcore influences.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Monster Hunt 2 Target entity description: Monster Hunt 2 is a 2018 Chinese fantasy-comedy film and sequel to the hit movie Monster Hunt, blending live-action and CGI in a whimsical monster-filled world.
-
A.
Monster Hunt
Monster Hunt is a popular Chinese fantasy-comedy film that blends live-action and CGI to tell a whimsical story about humans and monsters coexisting.
-
B.
Monsters: Dark Continent
Monsters: Dark Continent is a 2014 British science fiction monster film that serves as a sequel to the 2010 film Monsters, exploring military conflict and alien creatures in a Middle Eastern war zone.
-
C.
Walking with Monsters
Walking with Monsters is a BBC documentary series that uses CGI reconstructions to depict life on Earth before the age of the dinosaurs, focusing on prehistoric creatures from the Paleozoic era.
-
D.
The Monster Club
The Monster Club is a 1980 British horror-comedy anthology film featuring Vincent Price and John Carradine, blending campy monster tales with nightclub musical interludes.
-
E.
Monster Monster
"Monster Monster" is an album by the American Christian rock band The Almost, showcasing their energetic blend of alternative rock and post-hardcore influences.
- F. None of above. chosen
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_69e11e2f98c8819083e11eab90942a78 |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f127ee84848190a22c24bf14498520 |
completed | April 28, 2026, 9:34 p.m. |
Created at: April 16, 2026, 8:24 p.m.