Triple
T19754227
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | China Miéville |
E474462
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Un Lun Dun |
—
|
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: Un Lun Dun | Statement: [China Miéville, notableWork, Un Lun Dun]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Un Lun Dun Context triple: [China Miéville, notableWork, Un Lun Dun]
-
A.
Un Lun Dun
chosen
Un Lun Dun is a contemporary fantasy novel by China Miéville that follows two girls who discover a bizarre, alternate version of London filled with strange creatures and surreal dangers.
-
B.
Ben Aan
Ben Aan is a popular, relatively small hill in the Trossachs region of Scotland, known for its steep but short ascent and panoramic views over Loch Katrine and Loch Achray.
-
C.
Kabeli
Kabeli is a small village located within Haljala Parish in northern Estonia.
-
D.
Billu
Billu is a 2009 Indian Hindi-language comedy-drama film about a poor village barber whose life changes when a Bollywood superstar, played by Shah Rukh Khan, visits his town.
-
E.
Mankatha
Mankatha is a 2011 Tamil action-thriller film directed by Venkat Prabhu, known for its heist plot and Ajith Kumar’s anti-hero performance.
- 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_69d8e51940a0819087bd2996f98da668 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e6529cae048190b4f8e6ba409bcf8e |
completed | April 20, 2026, 4:21 p.m. |
Created at: April 10, 2026, 1:48 p.m.