Triple
T19544119
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Richard Condon |
E488992
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Mile High
"Mile High" is a 1969 satirical crime novel by Richard Condon that intertwines political corruption, organized crime, and American capitalism.
|
E1382373
|
NE FINISHED |
How this triple was built (4 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: [Richard Condon, notableWork, Mile High]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mile High Context triple: [Richard Condon, notableWork, 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
"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.
Gone to Denver
"Gone to Denver" is a country song featured on Waylon Jennings' influential 1973 album *Lonesome, On'ry and Mean*.
-
D.
Big Sky
Big Sky is an NCAA Division I collegiate athletic conference primarily comprising universities in the western United States.
-
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. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Mile High Triple: [Richard Condon, notableWork, Mile High]
Generated description
"Mile High" is a 1969 satirical crime novel by Richard Condon that intertwines political corruption, organized crime, and American capitalism.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mile High Target entity description: "Mile High" is a 1969 satirical crime novel by Richard Condon that intertwines political corruption, organized crime, and American capitalism.
-
A.
Mile High
Mile High is the commonly used name for Denver’s NFL stadium, home of the Denver Broncos.
-
B.
Mile High
"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.
Gone to Denver
"Gone to Denver" is a country song featured on Waylon Jennings' influential 1973 album *Lonesome, On'ry and Mean*.
-
D.
Big Sky
Big Sky is an American crime drama television series centered on private detectives investigating abductions and other dark mysteries in rural Montana.
-
E.
Big Sky
Big Sky is an NCAA Division I collegiate athletic conference primarily comprising universities in the western United States.
- F. None of above. chosen
Provenance (5 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_69d8e8db5b6c8190984b61f91981f575 |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e63875cf40819088db7c7969be1e3d |
completed | April 20, 2026, 2:30 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a074e86e6ec81908c81fece17063d1f |
completed | May 15, 2026, 4:49 p.m. |
| NEDg | Description generation | batch_6a07508df47481908243632334ac7dae |
completed | May 15, 2026, 4:57 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a07510c6a188190accce6a17202ace8 |
completed | May 15, 2026, 4:59 p.m. |
Created at: April 10, 2026, 1:41 p.m.