Triple
T15045501
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Naughty Boy |
E379214
|
entity |
| Predicate | associatedAct |
P37
|
FINISHED |
| Object | Wiley |
E968833
|
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: Wiley | Statement: [Naughty Boy, associatedAct, Wiley]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wiley Context triple: [Naughty Boy, associatedAct, Wiley]
-
A.
Wiley
chosen
Wiley is a pioneering British grime MC and producer, often dubbed the "Godfather of Grime" for his foundational role in shaping the genre.
-
B.
Wiley
Wiley is a small unincorporated rural community located in Prowers County in southeastern Colorado.
-
C.
Wiley
Wiley is a masculine given name, often associated with notable American figures such as aviator Wiley Post.
-
D.
John Wiley & Sons
John Wiley & Sons is a global publishing company known for its academic, professional, and educational books, journals, and digital content.
-
E.
McGraw-Hill
McGraw-Hill is a major American educational publishing company known for producing textbooks and academic resources across a wide range of disciplines.
- 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_69d85cd64d108190853797a95c11cc45 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded830c3c08190a87b81abbbb75377 |
completed | April 15, 2026, 12:13 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe9de54380819084568664b63322d2 |
completed | May 9, 2026, 2:37 a.m. |
Created at: April 10, 2026, 3 a.m.