Triple
T22071398
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John Stossel |
E545414
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | John Stossel |
—
|
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: John Stossel | Statement: [John Stossel, name, John Stossel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: John Stossel Context triple: [John Stossel, name, John Stossel]
-
A.
John Stossel
chosen
John Stossel is an American television journalist and commentator known for his libertarian-leaning consumer and investigative reporting.
-
B.
Gary Mallaber
Gary Mallaber is an American drummer and percussionist best known for his session work with artists like Van Morrison, the Steve Miller Band, and Bruce Springsteen.
-
C.
Ron Paull
Ron Paull is a Canadian municipal politician who serves as the mayor of Quesnel, a small city in central British Columbia.
-
D.
Michael Medved
Michael Medved is an American film critic, radio host, and author known for his conservative commentary and popular books on movies and culture.
-
E.
John Batchelor
John Batchelor is an Australian actor known for his work in film, television, and theatre.
- 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_69e11e344dfc81909b1d88a7221329c7 |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f12888dcc08190b18d3d44d09ab943 |
completed | April 28, 2026, 9:37 p.m. |
Created at: April 16, 2026, 8:28 p.m.