Triple
T11255322
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nickelodeon |
E266420
|
entity |
| Predicate | screenwriter |
P2831
|
FINISHED |
| Object | Hugh Hefner |
E201211
|
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: Hugh Hefner | Statement: [Nickelodeon, screenwriter, Hugh Hefner]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hugh Hefner Context triple: [Nickelodeon, screenwriter, Hugh Hefner]
-
A.
Hugh Hefner
chosen
Hugh Hefner was an American magazine publisher and cultural figure best known as the founder of Playboy and its associated lifestyle brand.
-
B.
Glenn Hefner
Glenn Hefner was the father of Playboy founder Hugh Hefner and a key early financial supporter of his son's publishing ventures.
-
C.
David Hefner
David Hefner is the son of Playboy magazine founder Hugh Hefner, known primarily for his low-profile life outside the family’s media spotlight.
-
D.
Malcolm Forbes
Malcolm Forbes was an American entrepreneur and publisher best known for expanding Forbes magazine into a leading global business publication and for his flamboyant, high-profile lifestyle.
-
E.
Larry Flynt
Larry Flynt was a controversial American publisher and free-speech advocate best known as the founder of Hustler magazine.
- 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_69d6aac7953c8190b82caf9d7640fdf9 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e9346f4c8190b29c2cf3a29cd1d1 |
completed | April 9, 2026, 6 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e4cca0d25c8190bfdbe1f6ee3b04cb |
completed | April 19, 2026, 12:37 p.m. |
Created at: April 8, 2026, 9:31 p.m.