Triple
T18939253
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John Peel |
E463334
|
entity |
| Predicate | stageName |
P7872
|
FINISHED |
| Object | John Peel |
—
|
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 Peel | Statement: [John Peel, stageName, John Peel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: John Peel Context triple: [John Peel, stageName, John Peel]
-
A.
John Peel
chosen
John Peel was a renowned British radio DJ and broadcaster celebrated for championing new and alternative music, particularly through his influential BBC Radio 1 show and "Peel Sessions."
-
B.
John S. Peel
John S. Peel is a paleontologist known for his work on early Cambrian fossils, including the discovery of the Sirius Passet fauna in Greenland.
-
C.
Mark Radcliffe
Mark Radcliffe is an American film producer best known for his frequent collaborations with director Chris Columbus on popular Hollywood movies.
-
D.
Mark Radcliffe
Mark Radcliffe is a British radio broadcaster, DJ, and writer best known for his influential music shows on BBC Radio.
-
E.
Ian Reed
Ian Reed is a colleague of the fictional London detective John Luther in the British crime drama series "Luther."
- 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_69d8dcfec90481909e926be9767e5779 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5d3ea39dc8190a2f773e09e11e6d1 |
completed | April 20, 2026, 7:21 a.m. |
Created at: April 10, 2026, 11:59 a.m.