Triple
T13125540
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Star 80 |
E311834
|
entity |
| Predicate | subject |
P450
|
FINISHED |
| Object | Paul Snider |
E744993
|
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: Paul Snider | Statement: [Star 80, subject, Paul Snider]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Paul Snider Context triple: [Star 80, subject, Paul Snider]
-
A.
Paul Snider
chosen
Paul Snider was a Canadian nightclub promoter best known for discovering and later murdering Playboy Playmate Dorothy Stratten before taking his own life.
-
B.
Steven Snider
Steven Snider is a relatively obscure individual whose primary distinguishing feature is sharing the surname "Snider," with no widely recognized public achievements or roles documented.
-
C.
M. T. Snider
M. T. Snider is an individual notable enough to be recognized as a prominent bearer of the surname Snider.
-
D.
Robert Snider
Robert Snider is a personal name shared by multiple individuals, including professionals and public figures in various fields.
-
E.
Alan Snyder
Alan Snyder is a computer scientist and software engineer known for his work on programming languages and system design, including contributions to the development of the CLU language.
- 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_69d806a9fe888190b081e2d9ea665d6c |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d9819946808190b41335fb1054accd |
completed | April 10, 2026, 11:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6e28bdd6881909d01e550e99267e1 |
completed | May 3, 2026, 5:52 a.m. |
Created at: April 9, 2026, 9:07 p.m.