Triple
T1738122
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | LeAnn Rimes |
E37966
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | LeAnn |
E37966
|
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: LeAnn | Statement: [LeAnn Rimes, givenName, LeAnn]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: LeAnn Context triple: [LeAnn Rimes, givenName, LeAnn]
-
A.
Elissa Leonard
Elissa Leonard is an American filmmaker and producer known for her work in documentary and independent film, as well as for being married to Federal Reserve Chair Jerome H. Powell.
-
B.
Diana DeGarmo
Diana DeGarmo is an American singer and actress who gained fame as a standout contestant on the third season of the television show American Idol.
-
C.
Lauren Daniels
Lauren Daniels is a fictional character from the American prime-time television soap opera "Falcon Crest."
-
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.
LeAnn Rimes
chosen
LeAnn Rimes is an American country and pop singer best known for her breakout hit "Blue" and her powerful, mature vocals from a young age.
- 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_69a8861cc6ac8190ac0b2e31ccf62851 |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69aa63c35aec8190b5c19ace5524173f |
completed | March 6, 2026, 5:18 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad8b03303c8190a301dca327bf9f47 |
completed | March 8, 2026, 2:43 p.m. |
Created at: March 4, 2026, 7:30 p.m.