Triple
T21449047
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Walt Kowalski |
E529157
|
entity |
| Predicate | createdBy |
P806
|
FINISHED |
| Object | Dave Johannson |
—
|
NE NERFINISHED |
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: Dave Johannson | Statement: [Walt Kowalski, createdBy, Dave Johannson]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dave Johannson Context triple: [Walt Kowalski, createdBy, Dave Johannson]
-
A.
Dave Johannson
chosen
Dave Johannson is a screenwriter best known for co-writing the Clint Eastwood film "Gran Torino."
-
B.
Johnny Jorgensen
Johnny Jorgensen was a professional basketball player best known for his time in the early Basketball Association of America, including a stint with the Cleveland Rebels.
-
C.
Lars Johanson
Lars Johanson is a Swedish linguist renowned for his influential work on Turkic languages and language contact, and for his critical stance toward the proposed Altaic language family.
-
D.
Sven Nelson
Sven Nelson is a character in DC Comics, known as the son of Kent Nelson, the original Doctor Fate.
-
E.
Max Jensen
Max Jensen was a young gas station attendant in Utah who became one of the two murder victims of convicted killer Gary Gilmore in 1976.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0c457579481909db68053ed99750c |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69e9e9d11ca48190aafe25c97dfa5578 |
completed | April 23, 2026, 9:43 a.m. |
Created at: April 16, 2026, 6:06 p.m.