Triple
T8503042
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Penn & Teller: Fool Us |
E201268
|
entity |
| Predicate | presenter |
P83
|
FINISHED |
| Object | Jonathan Ross |
E701923
|
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: Jonathan Ross | Statement: [Penn & Teller: Fool Us, presenter, Jonathan Ross]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jonathan Ross Context triple: [Penn & Teller: Fool Us, presenter, Jonathan Ross]
-
A.
Jonathan Ross
Jonathan Ross is a British television and radio presenter best known for hosting long-running chat shows such as "Friday Night with Jonathan Ross."
-
B.
Jonathan Stephen Ross
chosen
Jonathan Stephen Ross is a British television and radio presenter best known for hosting long-running chat shows such as "Friday Night with Jonathan Ross."
-
C.
Scott Ross
Scott Ross is a musician best known as a member of the early 1990s hip hop group Marky Mark and the Funky Bunch.
-
D.
Daniel Ross
Daniel Ross is an American voice actor best known for portraying iconic animated characters, including voicing Donald Duck in various Disney productions.
-
E.
Daniel Ross
Daniel Ross is the son of John Ross, likely known primarily in relation to his father.
- 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_69ca831fe47c8190b5c57b456d2aefa0 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe59c413881909513d8a9d52333c0 |
completed | March 31, 2026, 3:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce4e1da7388190855ccd2e4292fd26 |
completed | April 2, 2026, 11:08 a.m. |
Created at: March 30, 2026, 6:14 p.m.