Triple
T17674394
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | CLU |
E440607
|
entity |
| Predicate | designedBy |
P184
|
FINISHED |
| Object | Craig Schaffert |
—
|
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: Craig Schaffert | Statement: [CLU, designedBy, Craig Schaffert]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Craig Schaffert Context triple: [CLU, designedBy, Craig Schaffert]
-
A.
Craig Schaffert
chosen
Craig Schaffert is a designer best known for creating the CLU programming language.
-
B.
Mike Krause
Mike Krause is a fictional character from the action thriller film "Salt," involved in the high-stakes world of espionage and covert operations.
-
C.
Michael Schultz
Michael Schultz is an American film and television director best known for his influential work on 1970s comedies and dramas, including the cult classic "Car Wash."
-
D.
Peter Krikes
Peter Krikes is a screenwriter best known for co-writing the science fiction film "Star Trek IV: The Voyage Home."
-
E.
Mark Suter
Mark Suter is a percussionist known for his work in contemporary and world music, including performances with the Silk Road Ensemble.
- 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_69d8b9e87e18819087104a44dc4dc5b1 |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e46f6ba22081909e2099490c047378 |
completed | April 19, 2026, 6 a.m. |
Created at: April 10, 2026, 10 a.m.