Triple
T23557230
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | BNA Records |
E579119
|
entity |
| Predicate | signedArtist |
P16560
|
FINISHED |
| Object | Ty Herndon |
—
|
NE NERFINISHED |
How this triple was built (2 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: Ty Herndon | Statement: [BNA Records, signedArtist, Ty Herndon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ty Herndon Context triple: [BNA Records, signedArtist, Ty Herndon]
-
A.
Ty Herndon
chosen
Ty Herndon is an American country music singer known for his 1990s chart-topping hits and later work as an openly gay artist and LGBTQ+ advocate.
-
B.
Donny Womack
Donny Womack is the stage name of American rapper, singer, and songwriter Don Toliver, known for his melodic trap sound and collaborations with artists like Travis Scott.
-
C.
Donny Womack
Donny Womack is a music release associated with the label We Run It Entertainment.
-
D.
T. Graham Brown
T. Graham Brown was a Scottish physician, physiologist, and mountaineer known for his pioneering climbs in the Alps and Alaska, including early ascents of major peaks such as Mount Foraker.
-
E.
Mark Womack
Mark Womack is a British actor known for his work in television dramas such as "Liverpool 1" and "Murphy's Law."
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e245fe24588190888f3aec8407d8e3 |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f1af659e9881908b527accfd2b1187 |
completed | April 29, 2026, 7:12 a.m. |
Created at: April 17, 2026, 6:12 p.m.