Triple
T20361107
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Spun |
E496781
|
entity |
| Predicate | hasCastMember |
P2308
|
FINISHED |
| Object | Ron Jeremy |
—
|
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: Ron Jeremy | Statement: [Spun, hasCastMember, Ron Jeremy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ron Jeremy Context triple: [Spun, hasCastMember, Ron Jeremy]
-
A.
Ron Jeremy
chosen
Ron Jeremy is an American former adult film actor who became one of the most recognizable and controversial figures in the pornography industry.
-
B.
Ricky Kirshner
Ricky Kirshner is a prominent American television and live-event producer known for overseeing major broadcasts such as Super Bowl halftime shows and high-profile award ceremonies.
-
C.
David Hasselhoff
David Hasselhoff is an American actor, singer, and producer best known for his starring roles in the television series "Knight Rider" and "Baywatch."
-
D.
Jeff Pilson
Jeff Pilson is an American bassist and producer best known for his work with the rock bands Dokken and Foreigner.
-
E.
Dan Bilzerian
Dan Bilzerian is an American social media personality, professional poker player, and businessman known for his lavish lifestyle and frequent appearances in action films.
- 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_69e0b4a3f7f48190b37f354574028ca6 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6786de5988190827584358c9db147 |
completed | April 20, 2026, 7:03 p.m. |
Created at: April 16, 2026, 11:25 a.m.