Triple
T8429599
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Song for Guy |
E199085
|
entity |
| Predicate | dedicatedTo |
P500
|
FINISHED |
| Object |
Guy Burchett
Guy Burchett was a young motorcycle courier for Elton John’s record label whose untimely death inspired Elton John’s instrumental piece "Song for Guy."
|
E742184
|
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: Guy Burchett | Statement: [Song for Guy, dedicatedTo, Guy Burchett]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Guy Burchett Context triple: [Song for Guy, dedicatedTo, Guy Burchett]
-
A.
Bryan Bedford
Bryan Bedford is an American airline executive best known for leading regional carriers such as Chautauqua Airlines and Republic Airways Holdings.
-
B.
Bryan Bedford
Bryan Bedford is the young boy central to the 1994 film "Miracle on 34th Street," whose belief in Santa Claus becomes a key focus of the story.
-
C.
Brian Routh
Brian Routh was a British performance artist and musician best known as one half of the avant-garde comedy and performance duo The Kipper Kids.
-
D.
Greg Barnett
Greg Barnett is an actor known for his role in the 2013 television miniseries "The Bible."
-
E.
Brian Latture
Brian Latture is a music producer known for his work on LL Cool J’s 1989 hip hop album "Walking with a Panther."
- 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: Guy Burchett Triple: [Song for Guy, dedicatedTo, Guy Burchett]
Generated description
Guy Burchett was a young motorcycle courier for Elton John’s record label whose untimely death inspired Elton John’s instrumental piece "Song for Guy."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Guy Burchett Target entity description: Guy Burchett was a young motorcycle courier for Elton John’s record label whose untimely death inspired Elton John’s instrumental piece "Song for Guy."
-
A.
Bryan Bedford
Bryan Bedford is an American airline executive best known for leading regional carriers such as Chautauqua Airlines and Republic Airways Holdings.
-
B.
Bryan Bedford
Bryan Bedford is the young boy central to the 1994 film "Miracle on 34th Street," whose belief in Santa Claus becomes a key focus of the story.
-
C.
Brian Routh
Brian Routh was a British performance artist and musician best known as one half of the avant-garde comedy and performance duo The Kipper Kids.
-
D.
Greg Barnett
Greg Barnett is an actor known for his role in the 2013 television miniseries "The Bible."
-
E.
Brian Latture
Brian Latture is a music producer known for his work on LL Cool J’s 1989 hip hop album "Walking with a Panther."
- 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_69ca8313c99081909a5c6d83b91de5b3 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbd1a2efa08190b92c75812003ffdb |
completed | March 31, 2026, 1:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce6ce5bfe481909e05c6a34e10ae16 |
completed | April 2, 2026, 1:19 p.m. |
| NEDg | Description generation | batch_69ce70d6e14c819083364deec9e0f509 |
completed | April 2, 2026, 1:36 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ce71693b7081909abefb56f8f69a77 |
completed | April 2, 2026, 1:38 p.m. |
Created at: March 30, 2026, 6:07 p.m.