Triple
T13815566
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2006 WNBA season |
E332005
|
entity |
| Predicate | mostImprovedPlayer |
P32821
|
FINISHED |
| Object | Erin Buescher |
E1096212
|
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: Erin Buescher | Statement: [2006 WNBA season, mostImprovedPlayer, Erin Buescher]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Erin Buescher Context triple: [2006 WNBA season, mostImprovedPlayer, Erin Buescher]
-
A.
Erin Buescher
chosen
Erin Buescher is a former professional basketball player best known as a standout WNBA forward and top reserve during the mid-2000s.
-
B.
Erin Burkett
Erin Burkett is an American music industry executive and co-founder of the influential punk rock record label Fat Wreck Chords.
-
C.
Brie Shaffer
Brie Shaffer is an American screenwriter and actress best known for her work behind the scenes and for being married to actor Michael Peña.
-
D.
Erin Daniels
Erin Daniels is an American actress best known for her role as Dana Fairbanks on the television drama series "The L Word."
-
E.
Kaitlyn Dunn
Kaitlyn Dunn is a person notable enough to be specifically referenced as a bearer of the surname Dunn.
- 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_69d81c59f8808190a851bc56afdc55e9 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de02806e148190996f58934e66d7d8 |
completed | April 14, 2026, 9:01 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a009181980481908fb49e464aef8734 |
completed | May 10, 2026, 2:09 p.m. |
Created at: April 9, 2026, 10:12 p.m.