Triple
T3972352
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cher |
E92362
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object | Sonny Bono |
E311260
|
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: Sonny Bono | Statement: [Cher, spouse, Sonny Bono]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sonny Bono Context triple: [Cher, spouse, Sonny Bono]
-
A.
Sonny Bono
chosen
Sonny Bono was an American singer, songwriter, actor, and politician best known as half of the pop duo Sonny & Cher and later as a U.S. Congressman from California.
-
B.
Christopher Nixon Cox
Christopher Nixon Cox is an American lawyer, political commentator, and grandson of former U.S. President Richard Nixon.
-
C.
Laramie Eppler
Laramie Eppler is an American actor best known for his role as one of the young brothers in Terrence Malick’s acclaimed film "The Tree of Life."
-
D.
Don Roberts
Don Roberts is a software engineer and author known for his contributions to object-oriented design and refactoring, including work on the influential book "Refactoring: Improving the Design of Existing Code."
-
E.
Chub Feeney
Chub Feeney was a longtime Major League Baseball executive who served as president of the National League from 1970 to 1986.
- 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_69aed96624188190ac8c45bb57ab72b5 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aef996ff6c8190ba8cc490e4744b95 |
completed | March 9, 2026, 4:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5400fa9ac8190adf70a4c49eac32c |
completed | March 14, 2026, 11:01 a.m. |
Created at: March 9, 2026, 3:32 p.m.