Triple
T22390792
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The SteelDrivers |
E553505
|
entity |
| Predicate | hasMember |
P10
|
FINISHED |
| Object |
Tammy Rogers
Tammy Rogers is an American fiddler, vocalist, and songwriter best known as a founding member of the Grammy-winning bluegrass band The SteelDrivers.
|
E1566091
|
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: Tammy Rogers | Statement: [The SteelDrivers, hasMember, Tammy Rogers]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tammy Rogers Context triple: [The SteelDrivers, hasMember, Tammy Rogers]
-
A.
Tammy Collins
Tammy Collins is the wife of Grammy-winning gospel musician and choir director Kirk Franklin, known for her supportive role in his personal life and ministry.
-
B.
Tammy Townsend
Tammy Townsend is an American actress and singer best known for her roles in television series such as "Family Matters" and "K.C. Undercover."
-
C.
Tammy Campbell
Tammy Campbell is the daughter of advertising executive Pete Campbell in the television series "Mad Men."
-
D.
Teri Rogers
Teri Rogers is a film editor known for her work on the Elvis Presley Western drama "Flaming Star."
-
E.
Tammy Tarleton
Tammy Tarleton is the cheerful, down-to-earth young heroine of the 1960s TV series "Tammy and the Millionaire," known for her rural charm and good-hearted nature.
- 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: Tammy Rogers Triple: [The SteelDrivers, hasMember, Tammy Rogers]
Generated description
Tammy Rogers is an American fiddler, vocalist, and songwriter best known as a founding member of the Grammy-winning bluegrass band The SteelDrivers.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tammy Rogers Target entity description: Tammy Rogers is an American fiddler, vocalist, and songwriter best known as a founding member of the Grammy-winning bluegrass band The SteelDrivers.
-
A.
Tammy Collins
Tammy Collins is the wife of Grammy-winning gospel musician and choir director Kirk Franklin, known for her supportive role in his personal life and ministry.
-
B.
Tammy Townsend
Tammy Townsend is an American actress and singer best known for her roles in television series such as "Family Matters" and "K.C. Undercover."
-
C.
Tammy Campbell
Tammy Campbell is the daughter of advertising executive Pete Campbell in the television series "Mad Men."
-
D.
Teri Rogers
Teri Rogers is a film editor known for her work on the Elvis Presley Western drama "Flaming Star."
-
E.
Tammy Tarleton
Tammy Tarleton is the cheerful, down-to-earth young heroine of the 1960s TV series "Tammy and the Millionaire," known for her rural charm and good-hearted nature.
- 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_69e11e4cf87c8190a1ff474daec326b7 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f1585b56208190b53b90a81a807a9d |
completed | April 29, 2026, 1:01 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0bf28c6374819099ff8ca38085d7d3 |
completed | May 19, 2026, 5:18 a.m. |
| NEDg | Description generation | batch_6a0bf7935b088190b0b8098ee877302f |
completed | May 19, 2026, 5:39 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0bf7f426b88190b3b6897b116b7809 |
completed | May 19, 2026, 5:41 a.m. |
Created at: April 16, 2026, 8:45 p.m.