Triple
T2010254
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Blue |
E43672
|
entity |
| Predicate | followedBy |
P78
|
FINISHED |
| Object | For the Roses |
E43837
|
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: For the Roses | Statement: [Blue, followedBy, For the Roses]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: For the Roses Context triple: [Blue, followedBy, For the Roses]
-
A.
For the Roses
chosen
For the Roses is a 1972 studio album by Canadian singer-songwriter Joni Mitchell that bridges her early folk style with more complex, jazz-influenced compositions and introspective lyrics.
-
B.
The Rose
The Rose is a 1979 musical drama film starring Bette Midler as a self-destructive rock singer, widely acclaimed for her powerful performance and the hit title song.
-
C.
City of Roses
City of Roses is a popular nickname for Pasadena, California, reflecting its long association with rose cultivation and the famous Rose Parade.
-
D.
The Red Rose
The Red Rose is the athletic nickname representing Lancaster University's sports teams, drawing on the historic symbol of Lancashire.
-
E.
Roxanne
Roxanne is a 1987 romantic comedy film starring Steve Martin, loosely based on the play Cyrano de Bergerac.
- 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_69a88716e9f08190946313fdc949e3cf |
completed | March 4, 2026, 7:25 p.m. |
| NER | Named-entity recognition | batch_69abb8afe6f8819092679c86d1f2d041 |
completed | March 7, 2026, 5:33 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae0ae5f0748190aecee47884c61ecc |
completed | March 8, 2026, 11:48 p.m. |
Created at: March 4, 2026, 7:37 p.m.