Triple
T16677541
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rise Up |
E405251
|
entity |
| Predicate | hasTrack |
P3284
|
FINISHED |
| Object |
1000 Eyes
"1000 Eyes" is a song featured on the album "Rise Up."
|
E1228078
|
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: 1000 Eyes | Statement: [Rise Up, hasTrack, 1000 Eyes]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 1000 Eyes Context triple: [Rise Up, hasTrack, 1000 Eyes]
-
A.
Thousand Eyes
"Thousand Eyes" is a track from the album *Beneath the Skin* by the Icelandic indie-folk band Of Monsters and Men, known for its atmospheric sound and introspective lyrics.
-
B.
Behind Those Eyes
"Behind Those Eyes" is a rock song by the American band 3 Doors Down from their 2005 album *Seventeen Days*.
-
C.
Behind the Eyes
Behind the Eyes is a 1997 studio album by contemporary Christian and pop singer Amy Grant, noted for its introspective, adult contemporary sound and personal lyrical themes.
-
D.
Mystic Eyes
Mystic Eyes is a creative work, likely a story or artistic piece, recognized as a notable part of the body of work produced by the entity known as Them.
-
E.
In His Eyes
"In His Eyes" is a poignant duet from the Broadway musical Jekyll & Hyde, sung by the characters Lucy and Emma as they reflect on their conflicted feelings for the same man.
- 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: 1000 Eyes Triple: [Rise Up, hasTrack, 1000 Eyes]
Generated description
"1000 Eyes" is a song featured on the album "Rise Up."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: 1000 Eyes Target entity description: "1000 Eyes" is a song featured on the album "Rise Up."
-
A.
Thousand Eyes
"Thousand Eyes" is a track from the album *Beneath the Skin* by the Icelandic indie-folk band Of Monsters and Men, known for its atmospheric sound and introspective lyrics.
-
B.
Behind Those Eyes
"Behind Those Eyes" is a rock song by the American band 3 Doors Down from their 2005 album *Seventeen Days*.
-
C.
Behind the Eyes
Behind the Eyes is a 1997 studio album by contemporary Christian and pop singer Amy Grant, noted for its introspective, adult contemporary sound and personal lyrical themes.
-
D.
Mystic Eyes
Mystic Eyes is a creative work, likely a story or artistic piece, recognized as a notable part of the body of work produced by the entity known as Them.
-
E.
In His Eyes
"In His Eyes" is a poignant duet from the Broadway musical Jekyll & Hyde, sung by the characters Lucy and Emma as they reflect on their conflicted feelings for the same man.
- 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_69d8838c28748190b3f5967c743940ab |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e37d6c805c81909fbe4fcb20eedbe1 |
completed | April 18, 2026, 12:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a008a3e2ddc8190a59108cdf001dac2 |
completed | May 10, 2026, 1:38 p.m. |
| NEDg | Description generation | batch_6a008b600e5c819084795fee911b0716 |
completed | May 10, 2026, 1:42 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a008bee78248190b920d780bcbd3032 |
completed | May 10, 2026, 1:45 p.m. |
Created at: April 10, 2026, 5:19 a.m.