Triple
T13735493
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Rosebuds |
E329932
|
entity |
| Predicate | hasFormerMember |
P1168
|
FINISHED |
| Object | Kelly Crisp |
E1057586
|
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: Kelly Crisp | Statement: [The Rosebuds, hasFormerMember, Kelly Crisp]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kelly Crisp Context triple: [The Rosebuds, hasFormerMember, Kelly Crisp]
-
A.
Kelly Crisp
chosen
Kelly Crisp is an American musician best known as a member of the indie rock band The Rosebuds.
-
B.
Karen Gilchrist
Karen Gilchrist is a film producer best known for her work on major studio projects including Disney’s 2019 photorealistic remake of The Lion King.
-
C.
Kelli Carpenter
Kelli Carpenter is an American former publicist and co-founder of the travel company R Family Vacations, best known for her past marriage to comedian and television personality Rosie O'Donnell.
-
D.
Kimberly Krysiuk
Kimberly Krysiuk is a writer known for her work on the series "Baby Mama."
-
E.
Kelly Dixon
Kelly Dixon is a film editor best known for her work on major projects including the Marvel Studios sequel "Black Panther: Wakanda Forever."
- 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_69d80772315881908f980cae40d91664 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69de020351fc8190a554a48c552e83b5 |
completed | April 14, 2026, 8:59 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7a84dbdc48190a4724bb9c3523b25 |
completed | May 3, 2026, 7:55 p.m. |
Created at: April 9, 2026, 9:55 p.m.