Triple
T11078949
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kottke |
E261937
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object | Leo Kottke |
E883533
|
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: Leo Kottke | Statement: [Kottke, hasNotableBearer, Leo Kottke]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Leo Kottke Context triple: [Kottke, hasNotableBearer, Leo Kottke]
-
A.
Leo Kottke
chosen
Leo Kottke is an American acoustic guitarist renowned for his virtuosic fingerpicking style and genre-blending instrumental compositions.
-
B.
Daniel Kottke
Daniel Kottke is an early Apple employee and close college friend of Steve Jobs who worked on the original Apple computers.
-
C.
Chris Smither
Chris Smither is an American folk and blues singer-songwriter and guitarist known for his intricate fingerpicking style and introspective, lyrically rich songs.
-
D.
Michael Hedges
Michael Hedges was an innovative American acoustic guitarist and composer known for his groundbreaking percussive fingerstyle technique and influential recordings in the new-age and contemporary instrumental genres.
-
E.
Owen Strand
Owen Strand is a fictional New York firefighter captain who relocates to Austin, Texas to rebuild a firehouse and lead its diverse crew in the TV series "9-1-1: Lone Star."
- 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_69d6aa9983c08190b0ef61603b69feac |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d799953d58819096b645a1377e70f2 |
completed | April 9, 2026, 12:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e3e77a78288190aa76912e0fa821b5 |
completed | April 18, 2026, 8:20 p.m. |
Created at: April 8, 2026, 9:27 p.m.