Triple
T10049139
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mark Wills |
E207695
|
entity |
| Predicate | associatedAct |
P37
|
FINISHED |
| Object | Lee Ann Womack |
E717771
|
NE FINISHED |
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: Lee Ann Womack | Statement: [Mark Wills, associatedAct, Lee Ann Womack]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lee Ann Womack Context triple: [Mark Wills, associatedAct, Lee Ann Womack]
-
A.
Lee Ann Womack
chosen
Lee Ann Womack is an American country music singer best known for her hit song "I Hope You Dance" and her traditional country vocal style.
-
B.
Lorrie Morgan
Lorrie Morgan is an American country music singer known for her emotive vocal style and a string of hits since the late 1980s.
-
C.
Lili-Rose Womack
Lili-Rose Womack is the daughter of English actress and singer Samantha Womack.
-
D.
Pam Tillis
Pam Tillis is an American country music singer-songwriter and actress known for hits in the 1990s such as "Maybe It Was Memphis" and "Mi Vida Loca (My Crazy Life)."
-
E.
Shelby Lynne
Shelby Lynne is an American singer-songwriter known for her soulful blend of country, pop, and Americana, as well as her Grammy-winning vocal performances.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69ca835ad0608190b7c80b292da004f5 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cdcf8cf4f0819084d831e1986790be |
completed | April 2, 2026, 2:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d29a4064a48190b4fdb6bf3ea5af05 |
completed | April 5, 2026, 5:22 p.m. |
Created at: March 30, 2026, 8:56 p.m.