Triple
T10572410
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vixen |
E249519
|
entity |
| Predicate | hasMember |
P10
|
FINISHED |
| Object | Share Pedersen |
E873363
|
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: Share Pedersen | Statement: [Vixen, hasMember, Share Pedersen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Share Pedersen Context triple: [Vixen, hasMember, Share Pedersen]
-
A.
Share Pedersen
chosen
Share Pedersen is an American bassist best known for her work with the all-female hard rock band Vixen during their late-1980s and early-1990s success.
-
B.
Petersen
Petersen is a German surname borne by numerous notable individuals across fields such as film, sports, and politics.
-
C.
Peder
Peder is a masculine given name of Scandinavian origin, commonly used in Norway and Denmark as a variant of Peter.
-
D.
Bente Klarlund Pedersen
Bente Klarlund Pedersen is a Danish physician and researcher renowned for her pioneering work on the role of physical activity and muscle-derived cytokines in health and disease.
-
E.
Daniel Petersen
Daniel Petersen is the son of acclaimed German film director Wolfgang Petersen.
- 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_69d381c8bd708190acf3d275c908251e |
completed | April 6, 2026, 9:50 a.m. |
| NER | Named-entity recognition | batch_69d52747a8d88190ab59333937180edc |
completed | April 7, 2026, 3:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d95e7396a4819082cc73c736636fb9 |
completed | April 10, 2026, 8:32 p.m. |
Created at: April 6, 2026, 12:37 p.m.