Triple
T23074828
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eternal Valley Memorial Park |
E575299
|
entity |
| Predicate | hasNotableBurial |
P196
|
FINISHED |
| Object | Paul Walker |
—
|
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: Paul Walker | Statement: [Eternal Valley Memorial Park, hasNotableBurial, Paul Walker]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Paul Walker Context triple: [Eternal Valley Memorial Park, hasNotableBurial, Paul Walker]
-
A.
Paul Walker
Paul Walker is a British businessman and former chief executive of the software company Sage Group, known for his leadership in the technology and business sectors.
-
B.
Paul Walker
chosen
Paul Walker was an American actor best known for his role as Brian O'Conner in the "Fast & Furious" film franchise.
-
C.
Eric Ranft
Eric Ranft is an entrepreneur best known as a founder of the electronic signature and digital transaction management company DocuSign.
-
D.
Joe Ranft
Joe Ranft was an influential American storyboard artist, writer, and animator best known for his key creative contributions to numerous Disney and Pixar films.
-
E.
Michael Madsen
Michael Madsen is an American actor known for his tough-guy roles in films such as Reservoir Dogs, Kill Bill, and other Quentin Tarantino movies.
- 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_69e245be28d48190ad1348d5a73db37d |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f18c62c200819099c92654493288ad |
completed | April 29, 2026, 4:43 a.m. |
Created at: April 17, 2026, 3:56 p.m.