Triple
T11126035
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Hot Band |
E263141
|
entity |
| Predicate | hasMember |
P10
|
FINISHED |
| Object |
Tony Brown
Tony Brown is an American country music producer and pianist known for his influential work in Nashville’s recording industry.
|
E787111
|
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: Tony Brown | Statement: [The Hot Band, hasMember, Tony Brown]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tony Brown Context triple: [The Hot Band, hasMember, Tony Brown]
-
A.
Tony Brown
Tony Brown is an American country music producer and record executive known for shaping the careers of numerous major Nashville artists.
-
B.
Russ Brown
Russ Brown was an American actor best known for his Tony Award–winning performance as the original coach Van Buren in the Broadway musical "Damn Yankees."
-
C.
Jonathan Brown
Jonathan Brown is a cinematographer best known for his work on major studio comedies and mainstream Hollywood films, including the 2006 reboot of The Pink Panther.
-
D.
Greg Brown
Greg Brown is an American ice hockey coach and former defenseman best known for leading the Boston College Eagles men's hockey program.
-
E.
Andrew Brown
Andrew Brown is a songwriter credited with co-writing the track "Stop and Stare."
- 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: Tony Brown Triple: [The Hot Band, hasMember, Tony Brown]
Generated description
Tony Brown is an American country music producer and pianist known for his influential work in Nashville’s recording industry.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tony Brown Target entity description: Tony Brown is an American country music producer and pianist known for his influential work in Nashville’s recording industry.
-
A.
Tony Brown
chosen
Tony Brown is an American country music producer and record executive known for shaping the careers of numerous major Nashville artists.
-
B.
Russ Brown
Russ Brown was an American actor best known for his Tony Award–winning performance as the original coach Van Buren in the Broadway musical "Damn Yankees."
-
C.
Jonathan Brown
Jonathan Brown is a cinematographer best known for his work on major studio comedies and mainstream Hollywood films, including the 2006 reboot of The Pink Panther.
-
D.
Greg Brown
Greg Brown is an American ice hockey coach and former defenseman best known for leading the Boston College Eagles men's hockey program.
-
E.
Andrew Brown
Andrew Brown is a songwriter credited with co-writing the track "Stop and Stare."
- F. None of above.
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_69d6aa9b46cc8190b19f9f0cc45bf322 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d7e82fc5f88190b34c55de3d50f6a7 |
completed | April 9, 2026, 5:55 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e441d376f8819080effd5bf29c6bc1 |
completed | April 19, 2026, 2:45 a.m. |
| NEDg | Description generation | batch_69e44c0606408190819b9d3fd58f818f |
completed | April 19, 2026, 3:29 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69e451274ce48190a05f1d37f972c36c |
completed | April 19, 2026, 3:51 a.m. |
Created at: April 8, 2026, 9:28 p.m.