Triple
T8500939
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hugh Hefner |
E201211
|
entity |
| Predicate | parent |
P120
|
FINISHED |
| Object |
Glenn Hefner
Glenn Hefner was the father of Playboy founder Hugh Hefner and a key early financial supporter of his son's publishing ventures.
|
E744637
|
NE FINISHED |
How this triple was built (4 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: Glenn Hefner | Statement: [Hugh Hefner, parent, Glenn Hefner]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Glenn Hefner Context triple: [Hugh Hefner, parent, Glenn Hefner]
-
A.
Hugh Hefner
Hugh Hefner was an American magazine publisher and cultural figure best known as the founder of Playboy and its associated lifestyle brand.
-
B.
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.
-
C.
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.
-
D.
Christie Hefner
Christie Hefner is an American businesswoman best known for serving as longtime CEO and chairwoman of Playboy Enterprises.
-
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. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Glenn Hefner Triple: [Hugh Hefner, parent, Glenn Hefner]
Generated description
Glenn Hefner was the father of Playboy founder Hugh Hefner and a key early financial supporter of his son's publishing ventures.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Glenn Hefner Target entity description: Glenn Hefner was the father of Playboy founder Hugh Hefner and a key early financial supporter of his son's publishing ventures.
-
A.
Hugh Hefner
Hugh Hefner was an American magazine publisher and cultural figure best known as the founder of Playboy and its associated lifestyle brand.
-
B.
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.
-
C.
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.
-
D.
Christie Hefner
Christie Hefner is an American businesswoman best known for serving as longtime CEO and chairwoman of Playboy Enterprises.
-
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. chosen
Provenance (5 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_69ca831fe47c8190b5c57b456d2aefa0 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe5996ce88190956cb3f8d9ad3daf |
completed | March 31, 2026, 3:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cea8411e148190a700dae3d3ebd716 |
completed | April 2, 2026, 5:32 p.m. |
| NEDg | Description generation | batch_69cea994f0ac819092fb34a0f2357611 |
completed | April 2, 2026, 5:38 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ceaa4c7ba08190be86cccc3a857656 |
completed | April 2, 2026, 5:41 p.m. |
Created at: March 30, 2026, 6:14 p.m.