Triple
T17395341
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mike Vogel |
E422938
|
entity |
| Predicate | birthName |
P65
|
FINISHED |
| Object | Michael James 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: Michael James Vogel | Statement: [Mike Vogel, birthName, Michael James Vogel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Michael James Vogel Context triple: [Mike Vogel, birthName, Michael James Vogel]
-
A.
Mike Vogel
chosen
Mike Vogel is an American actor known for his roles in films like "Cloverfield" and "The Help" as well as TV series such as "Under the Dome."
-
B.
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.
-
C.
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.
-
D.
Matt Roth
Matt Roth is an American actor known for his television work, including recurring roles on the sitcom "Roseanne."
-
E.
Michael Culver
Michael Culver is a British actor known for his character roles in film and television, including appearances in productions such as "A Passage to India" and "The Empire Strikes Back."
- 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_69d889d710288190bf0f4762801fefae |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e43abcd8b081908579ee9a80f65802 |
completed | April 19, 2026, 2:15 a.m. |
Created at: April 10, 2026, 5:45 a.m.