Triple
T9906621
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tenacious D in The Pick of Destiny |
E185026
|
entity |
| Predicate | castMember |
P1668
|
FINISHED |
| Object |
JR Reed
JR Reed is an American actor and comedian best known for his recurring collaborations with the rock-comedy duo Tenacious D in film and television.
|
E828466
|
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: JR Reed | Statement: [Tenacious D in The Pick of Destiny, castMember, JR Reed]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: JR Reed Context triple: [Tenacious D in The Pick of Destiny, castMember, JR Reed]
-
A.
David Reynolds
David Reynolds is an American screenwriter best known for his work on acclaimed animated films such as Pixar's "Finding Nemo."
-
B.
J.R. Reed
J.R. Reed is a former American football safety best known for his college career at the University of Georgia and his time in the NFL, including with the Philadelphia Eagles.
-
C.
Ken Hood
Ken Hood is the protagonist of the film "Welcome to L.A.," around whom the story’s interpersonal and emotional dynamics revolve.
-
D.
Richard Reed
Richard Reed is a British entrepreneur best known as a co-founder of the smoothie and juice company Innocent Drinks.
-
E.
Chris Blunden
Chris Blunden is a film editor known for his work on the 1997 comedy film "Bean."
- 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: JR Reed Triple: [Tenacious D in The Pick of Destiny, castMember, JR Reed]
Generated description
JR Reed is an American actor and comedian best known for his recurring collaborations with the rock-comedy duo Tenacious D in film and television.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: JR Reed Target entity description: JR Reed is an American actor and comedian best known for his recurring collaborations with the rock-comedy duo Tenacious D in film and television.
-
A.
David Reynolds
David Reynolds is an American screenwriter best known for his work on acclaimed animated films such as Pixar's "Finding Nemo."
-
B.
J.R. Reed
J.R. Reed is a former American football safety best known for his college career at the University of Georgia and his time in the NFL, including with the Philadelphia Eagles.
-
C.
Ken Hood
Ken Hood is the protagonist of the film "Welcome to L.A.," around whom the story’s interpersonal and emotional dynamics revolve.
-
D.
Richard Reed
Richard Reed is a British entrepreneur best known as a co-founder of the smoothie and juice company Innocent Drinks.
-
E.
Chris Blunden
Chris Blunden is a film editor known for his work on the 1997 comedy film "Bean."
- 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_69ca8296165881908ca4750701af1f29 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cdb50cf8808190a41e565216712704 |
completed | April 2, 2026, 12:15 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1eb316a188190a1c7fbe0d1997cf5 |
completed | April 5, 2026, 4:55 a.m. |
| NEDg | Description generation | batch_69d1ed2864108190bbeb2e38ff733773 |
completed | April 5, 2026, 5:03 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d1edcf68c48190ba548c19042323fd |
completed | April 5, 2026, 5:06 a.m. |
Created at: March 30, 2026, 8:41 p.m.