Triple
T7418962
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Blue Electric Light |
E171195
|
entity |
| Predicate | hasNotableTrack |
P8087
|
FINISHED |
| Object |
Shine Your Light
"Shine Your Light" is a notable song by the band Blue Electric Light, recognized as one of their standout tracks.
|
E663032
|
NE FINISHED |
How this triple was built (4 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: Shine Your Light | Statement: [Blue Electric Light, hasNotableTrack, Shine Your Light]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Shine Your Light Context triple: [Blue Electric Light, hasNotableTrack, Shine Your Light]
-
A.
Shine On
"Shine On" is a studio album by Canadian singer-songwriter Sarah McLachlan, known for its introspective lyrics and lush, melodic pop sound.
-
B.
Shine On
"Shine On" is a song featured on James Blunt's 2007 studio album "All the Lost Souls."
-
C.
See the Light
"See the Light" is a song by American punk rock band Green Day from their rock opera album "21st Century Breakdown."
-
D.
Something Shines
"Something Shines" is a solo studio album by French musician Laetitia Sadier, known for its atmospheric blend of avant-pop, indie, and politically tinged lyrics.
-
E.
Gimme the Light
"Gimme the Light" is a breakthrough dancehall single by Jamaican artist Sean Paul that helped launch him to international fame in the early 2000s.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Shine Your Light Triple: [Blue Electric Light, hasNotableTrack, Shine Your Light]
Generated description
"Shine Your Light" is a notable song by the band Blue Electric Light, recognized as one of their standout tracks.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Shine Your Light Target entity description: "Shine Your Light" is a notable song by the band Blue Electric Light, recognized as one of their standout tracks.
-
A.
Shine On
"Shine On" is a studio album by Canadian singer-songwriter Sarah McLachlan, known for its introspective lyrics and lush, melodic pop sound.
-
B.
Shine On
"Shine On" is a song featured on James Blunt's 2007 studio album "All the Lost Souls."
-
C.
See the Light
"See the Light" is a song by American punk rock band Green Day from their rock opera album "21st Century Breakdown."
-
D.
Something Shines
"Something Shines" is a solo studio album by French musician Laetitia Sadier, known for its atmospheric blend of avant-pop, indie, and politically tinged lyrics.
-
E.
Gimme the Light
"Gimme the Light" is a breakthrough dancehall single by Jamaican artist Sean Paul that helped launch him to international fame in the early 2000s.
- F. None of above. chosen
Provenance (5 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_69c68a625d048190af70eb8b63bec5a0 |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f2e93ffc8190beb5a1d3eb6c5d23 |
completed | March 27, 2026, 9:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c81ef30ee88190a484f4b735913676 |
completed | March 28, 2026, 6:33 p.m. |
| NEDg | Description generation | batch_69c81f8590348190ac632731b9bb9a52 |
completed | March 28, 2026, 6:35 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c82036e43481908a4be75ab4e1409c |
completed | March 28, 2026, 6:38 p.m. |
Created at: March 27, 2026, 3:11 p.m.