Triple
T1923927
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Penn Jillette |
E40185
|
entity |
| Predicate | memberOf |
P10
|
FINISHED |
| Object | Penn & Teller |
E201267
|
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: Penn & Teller | Statement: [Penn Jillette, memberOf, Penn & Teller]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Penn & Teller Context triple: [Penn Jillette, memberOf, Penn & Teller]
-
A.
Penn & Teller
chosen
Penn & Teller are a famous American magician-comedian duo known for combining innovative illusions with skeptical, often humorous commentary on magic and the paranormal.
-
B.
Penn Jillette
Penn Jillette is an American magician, comedian, author, and outspoken skeptic best known as half of the magic duo Penn & Teller.
-
C.
Bill Irwin
Bill Irwin is an American actor and clown known for his work in theater, film, and television, including his performance as the voice and puppeteer of the robot TARS in "Interstellar."
-
D.
Dennis Miller
Dennis Miller is an American stand-up comedian, talk show host, and actor known for his acerbic wit and work on Saturday Night Live and various political commentary programs.
-
E.
Bill Burr
Bill Burr is an American stand-up comedian, actor, and podcaster known for his abrasive, observational humor and candid takes on social and cultural issues.
- 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_69a8864298748190a2f2fd34f7ef8d77 |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69abb2359ca0819082b514a34c469b21 |
completed | March 7, 2026, 5:05 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69adf3e6678881908d72de7e0f19a648 |
completed | March 8, 2026, 10:10 p.m. |
Created at: March 4, 2026, 7:35 p.m.