Triple
T22913618
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Spin |
E568668
|
entity |
| Predicate | publisher |
P29
|
FINISHED |
| Object | Bob Guccione Jr. |
—
|
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: Bob Guccione Jr. | Statement: [Spin, publisher, Bob Guccione Jr.]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bob Guccione Jr. Context triple: [Spin, publisher, Bob Guccione Jr.]
-
A.
Bob Guccione Jr.
chosen
Bob Guccione Jr. is an American magazine publisher best known for creating the influential music and culture magazine Spin.
-
B.
Ervin “EP” Pope
Ervin “EP” Pope is a music producer known for his work in hip-hop and R&B with prominent artists in the industry.
-
C.
Doug McHenry
Doug McHenry is an American film producer and director known for his work on popular African-American comedies and dramas.
-
D.
Tom Brevoort
Tom Brevoort is a longtime Marvel Comics editor and executive known for overseeing major crossover events and influential series across the Marvel Universe.
-
E.
Jim Manzi
Jim Manzi is an American businessman best known for leading Lotus Development Corporation as its CEO during the height of its success in the software industry.
- 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_69e2458d90c88190a58cead4e781ca6a |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f1807668c481908494769bab9c8f1d |
completed | April 29, 2026, 3:52 a.m. |
Created at: April 17, 2026, 3:42 p.m.