Triple
T1506145
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Billie Joe Armstrong |
E33905
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object | Adrienne Nesser |
E79550
|
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: Adrienne Nesser | Statement: [Billie Joe Armstrong, spouse, Adrienne Nesser]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Adrienne Nesser Context triple: [Billie Joe Armstrong, spouse, Adrienne Nesser]
-
A.
Adrienne Nesser
chosen
Adrienne Nesser is an American activist and former boutique owner best known as the longtime wife of Green Day frontman Billie Joe Armstrong.
-
B.
Judith Nelson
Judith Nelson was an American soprano known for her pioneering work and acclaimed performances in the early music and Baroque repertoire.
-
C.
Lynne Haldeman
Lynne Haldeman is a member of the Musk family and the sister of model and dietitian Maye Musk, making her an aunt of entrepreneur Elon Musk.
-
D.
Beverly Gage
Beverly Gage is an American historian and Yale professor known for her scholarship on 20th-century U.S. political history and her acclaimed biography of FBI director J. Edgar Hoover.
-
E.
Sandra Hunt
Sandra Hunt is best known as the wife of legendary Los Angeles Dodgers broadcaster Vin Scully.
- 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_69a885f352a4819099b24ff15489dede |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69a88735f8a8819089177a4d3e4a0211 |
completed | March 4, 2026, 7:25 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae7198b4948190bd37e4c27f74c817 |
completed | March 9, 2026, 7:07 a.m. |
Created at: March 4, 2026, 7:24 p.m.