Triple
T20624396
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ghosts of Download |
E506778
|
entity |
| Predicate | notableTrack |
P8087
|
FINISHED |
| Object | Mile High |
E738595
|
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: Mile High | Statement: [Ghosts of Download, notableTrack, Mile High]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mile High Context triple: [Ghosts of Download, notableTrack, Mile High]
-
A.
Mile High
Mile High is the commonly used name for Denver’s NFL stadium, home of the Denver Broncos.
-
B.
Mile High
chosen
"Mile High" is a British television drama series centered on the lives and relationships of airline cabin crew working for a fictional low-cost carrier.
-
C.
Mile High
"Mile High" is a 1969 satirical crime novel by Richard Condon that intertwines political corruption, organized crime, and American capitalism.
-
D.
Gone to Denver
"Gone to Denver" is a country song featured on Waylon Jennings' influential 1973 album *Lonesome, On'ry and Mean*.
-
E.
Big Sky
Big Sky is an American crime drama television series centered on private detectives investigating abductions and other dark mysteries in rural Montana.
- 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_69e0b4bc90988190ac360aaf645efc1d |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6abe3d76c8190a8a5cb52bb9bfc2b |
completed | April 20, 2026, 10:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a08bb1b767881908404c3039f0c2b51 |
completed | May 16, 2026, 6:44 p.m. |
Created at: April 16, 2026, 11:42 a.m.