Triple
T22596531
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Year of the Sex Olympics |
E574695
|
entity |
| Predicate | starred |
P5563
|
FINISHED |
| Object | Tony Vogel |
—
|
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: Tony Vogel | Statement: [The Year of the Sex Olympics, starred, Tony Vogel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tony Vogel Context triple: [The Year of the Sex Olympics, starred, Tony Vogel]
-
A.
Tony Vogel
chosen
Tony Vogel was a British actor known for his work in film and television, including roles in productions such as Omen III: The Final Conflict.
-
B.
Alex Vogel
Alex Vogel is a professional associated with Rick Martinez, likely working alongside him in a shared field or organization.
-
C.
Hal Vogel
Hal Vogel is a film producer known for his work on the historical drama "True History of the Kelly Gang."
-
D.
Matt Vogel
Matt Vogel is an American puppeteer and voice actor best known for performing iconic Muppet and Sesame Street characters, including taking over the role of Big Bird.
-
E.
Peter Vogel
Peter Vogel is an Australian engineer and entrepreneur best known as the co-creator of the Fairlight CMI, one of the first digital sampling synthesizers that revolutionized music production.
- 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_69e245bc11308190b69d794d5d1e0bb6 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f16269a56881909bb5af0258150f93 |
completed | April 29, 2026, 1:44 a.m. |
Created at: April 17, 2026, 2:50 p.m.