Triple
T10155566
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Régine Chassagne |
E232766
|
entity |
| Predicate | notableSong |
P4
|
FINISHED |
| Object | Electric Blue |
E784524
|
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: Electric Blue | Statement: [Régine Chassagne, notableSong, Electric Blue]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Electric Blue Context triple: [Régine Chassagne, notableSong, Electric Blue]
-
A.
Electric Blue
chosen
"Electric Blue" is a song by the Canadian indie rock band Arcade Fire from their album "Everything Now."
-
B.
Cool Blue
Cool Blue is a popular blue raspberry-flavored sports drink variety in the Gatorade product line.
-
C.
Trucolor
Trucolor was a mid-20th-century color motion picture process developed by Republic Pictures, used primarily in their Westerns and adventure films.
-
D.
Brightest Blue
"Brightest Blue" is a 2020 studio album by English singer-songwriter Ellie Goulding that blends electropop and introspective ballads, exploring themes of vulnerability, self-discovery, and resilience.
-
E.
Silver Blue
Silver Blue is a song by Linda Ronstadt featured on her 1975 album "Prisoner in Disguise."
- 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_69ca84885e48819088a31b127cf44904 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cdec3a5e7c819098b2f9ccbde7cf94 |
completed | April 2, 2026, 4:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d2e65b9d4c8190b1f520ed08256372 |
completed | April 5, 2026, 10:46 p.m. |
Created at: March 30, 2026, 9:09 p.m.