Triple
T11078965
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Leo Kottke |
E261937
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Kottke |
E261937
|
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: Kottke | Statement: [Leo Kottke, familyName, Kottke]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kottke Context triple: [Leo Kottke, familyName, Kottke]
-
A.
Kottke
chosen
Kottke is a surname most notably associated with individuals such as Daniel Kottke, an early Apple employee and friend of Steve Jobs.
-
B.
Jason Kottke
Jason Kottke is an American blogger and web designer best known for running the long-running weblog kottke.org, one of the earliest and most influential personal blogs on the internet.
-
C.
Kuttner
Kuttner is a surname of German origin borne by various notable individuals across fields such as literature, politics, and academia.
-
D.
Blodget
Blodget is a surname that serves as a variant spelling of Blodgett, associated with various individuals and families, particularly in English-speaking countries.
-
E.
Kovach
Kovach is a surname of Eastern European origin, commonly found among people of Hungarian or Slavic descent and often representing an anglicized form of similar regional names.
- 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.