Triple
T13080247
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Merry Pranksters |
E310181
|
entity |
| Predicate | member |
P10
|
FINISHED |
| Object |
Ron Bevirt
Ron Bevirt is an American countercultural figure best known for his involvement with Ken Kesey’s Merry Pranksters during the 1960s psychedelic movement.
|
E1022654
|
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: Ron Bevirt | Statement: [Merry Pranksters, member, Ron Bevirt]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ron Bevirt Context triple: [Merry Pranksters, member, Ron Bevirt]
-
A.
Alex Heineman
Alex Heineman is a film producer known for his work on the historical thriller "Operation Finale" and other feature films.
-
B.
Ian Edelman
Ian Edelman is a writer and producer best known for creating the animated musical television special "Entergalactic" in collaboration with Kid Cudi.
-
C.
David Heitner
David Heitner is a film editor known for his work on the South African musical drama film "Sarafina!".
-
D.
Steven Bethard
Steven Bethard is a computer scientist and natural language processing researcher known for his work on temporal information extraction, semantic role labeling, and clinical NLP.
-
E.
Matthew C. Brown
Matthew C. Brown is a film producer known for his work on the horror movie "Spectral."
- 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: Ron Bevirt Triple: [Merry Pranksters, member, Ron Bevirt]
Generated description
Ron Bevirt is an American countercultural figure best known for his involvement with Ken Kesey’s Merry Pranksters during the 1960s psychedelic movement.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ron Bevirt Target entity description: Ron Bevirt is an American countercultural figure best known for his involvement with Ken Kesey’s Merry Pranksters during the 1960s psychedelic movement.
-
A.
Alex Heineman
Alex Heineman is a film producer known for his work on the historical thriller "Operation Finale" and other feature films.
-
B.
Ian Edelman
Ian Edelman is a writer and producer best known for creating the animated musical television special "Entergalactic" in collaboration with Kid Cudi.
-
C.
David Heitner
David Heitner is a film editor known for his work on the South African musical drama film "Sarafina!".
-
D.
Steven Bethard
Steven Bethard is a computer scientist and natural language processing researcher known for his work on temporal information extraction, semantic role labeling, and clinical NLP.
-
E.
Matthew C. Brown
Matthew C. Brown is a film producer known for his work on the horror movie "Spectral."
- 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_69d806a733548190989cfd4ce981ca33 |
completed | April 9, 2026, 8:05 p.m. |
| NER | Named-entity recognition | batch_69d98119cb7081908b78ffe83ec99851 |
completed | April 10, 2026, 11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6e272629c8190926dbc9df447b6c4 |
completed | May 3, 2026, 5:51 a.m. |
| NEDg | Description generation | batch_69f6e4774f4881908692c2d57158db4a |
completed | May 3, 2026, 6 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f6e5630a5c8190bc17abac3cc6612e |
completed | May 3, 2026, 6:04 a.m. |
Created at: April 9, 2026, 9:01 p.m.