Triple
T15960044
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Up in the Air |
E387033
|
entity |
| Predicate | author |
P4
|
FINISHED |
| Object | Walter Kirn |
E387033
|
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: Walter Kirn | Statement: [Up in the Air, author, Walter Kirn]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Walter Kirn Context triple: [Up in the Air, author, Walter Kirn]
-
A.
Walter Kirn
chosen
Walter Kirn is an American novelist, literary critic, and essayist best known for works such as "Up in the Air," which was adapted into a major feature film.
-
B.
Peter Vermes
Peter Vermes is an American soccer coach and former defender best known for his long tenure leading Sporting Kansas City in Major League Soccer.
-
C.
Jason Kreis
Jason Kreis is an American soccer coach and former player best known for leading Real Salt Lake to an MLS Cup title and later managing several Major League Soccer clubs.
-
D.
Kevin Adams
Kevin Adams is a Tony Award–winning American lighting designer renowned for his innovative work on numerous Broadway productions.
-
E.
Lee Kern
Lee Kern is a British comedian and writer known for his work on satirical and prank-based television and film projects.
- 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_69d86da882448190a82ea962fe343b79 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e156fe82d081908b5d41bc5a709de2 |
completed | April 16, 2026, 9:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffbe806ef4819095a4dfe104d0bdc8 |
completed | May 9, 2026, 11:08 p.m. |
Created at: April 10, 2026, 4:53 a.m.