Triple
T15452493
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nate Ruess |
E371686
|
entity |
| Predicate | soloAlbum |
P37317
|
FINISHED |
| Object | Grand Romantic |
E1157733
|
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: Grand Romantic | Statement: [Nate Ruess, soloAlbum, Grand Romantic]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Grand Romantic Context triple: [Nate Ruess, soloAlbum, Grand Romantic]
-
A.
Grand Romantic
chosen
Grand Romantic is the debut solo studio album by American singer-songwriter Nate Ruess, known for its theatrical pop sound and emotionally charged lyrics.
-
B.
Regal
Regal is a major American movie theater chain known for operating multiplex cinemas across the United States.
-
C.
Regal
Regal is a character featured in the puzzle-adventure video game "Room 25."
-
D.
Vert galant
Vert galant is the famous nickname of King Henry IV of France, highlighting his reputation as a vigorous, gallant, and amorous monarch even into his later years.
-
E.
Glorious
"Glorious" is a 2017 uplifting hip-hop single by Macklemore featuring Skylar Grey, known for its triumphant tone and themes of personal renewal.
- 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_69d85cc8bd308190886949510b42e764 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e03efaf82c81908b464e37ce9c159a |
completed | April 16, 2026, 1:44 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff2cfbae7881909602b187e5219a35 |
completed | May 9, 2026, 12:47 p.m. |
Created at: April 10, 2026, 3:30 a.m.