Triple
T13811614
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stay Human |
E331905
|
entity |
| Predicate | hasMember |
P10
|
FINISHED |
| Object |
Joe Saylor
Joe Saylor is an American jazz drummer best known as the energetic percussionist in Jon Batiste’s house band Stay Human on "The Late Show with Stephen Colbert."
|
E1080807
|
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: Joe Saylor | Statement: [Stay Human, hasMember, Joe Saylor]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Joe Saylor Context triple: [Stay Human, hasMember, Joe Saylor]
-
A.
Greg Latta
Greg Latta was an American professional football tight end who played in the World Football League and the NFL, most notably for the Chicago Bears.
-
B.
Phil Brent
Phil Brent is a fictional character from the soap opera "All My Children," known for his complex family relationships and dramatic storylines.
-
C.
Eric Danchick
Eric Danchick is a film producer known for his work on the movie "Bound 2."
-
D.
R. J. Worley
R. J. Worley was an architect best known for designing Sicilian Avenue, an early 20th-century shopping street in London noted for its distinctive Italianate style.
-
E.
Larkin Seiple
Larkin Seiple is an American cinematographer known for his visually inventive work on films such as "Everything Everywhere All at Once."
- 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: Joe Saylor Triple: [Stay Human, hasMember, Joe Saylor]
Generated description
Joe Saylor is an American jazz drummer best known as the energetic percussionist in Jon Batiste’s house band Stay Human on "The Late Show with Stephen Colbert."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Joe Saylor Target entity description: Joe Saylor is an American jazz drummer best known as the energetic percussionist in Jon Batiste’s house band Stay Human on "The Late Show with Stephen Colbert."
-
A.
Greg Latta
Greg Latta was an American professional football tight end who played in the World Football League and the NFL, most notably for the Chicago Bears.
-
B.
Phil Brent
Phil Brent is a fictional character from the soap opera "All My Children," known for his complex family relationships and dramatic storylines.
-
C.
Eric Danchick
Eric Danchick is a film producer known for his work on the movie "Bound 2."
-
D.
R. J. Worley
R. J. Worley was an architect best known for designing Sicilian Avenue, an early 20th-century shopping street in London noted for its distinctive Italianate style.
-
E.
Larkin Seiple
Larkin Seiple is an American cinematographer known for his visually inventive work on films such as "Everything Everywhere All at Once."
- 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_69d81c59f8808190a851bc56afdc55e9 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de026ff6b481908066d6bf27064417 |
completed | April 14, 2026, 9:01 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fcd08a3a1481908400e3e55bf38aac |
completed | May 7, 2026, 5:48 p.m. |
| NEDg | Description generation | batch_69fcd288bd5881908f6a442201c5beea |
completed | May 7, 2026, 5:57 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fcd3ad7be8819094fc71c9f44fb4cb |
completed | May 7, 2026, 6:02 p.m. |
Created at: April 9, 2026, 10:12 p.m.