Triple
T3087491
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Innervisions |
E64407
|
entity |
| Predicate | hasTrack |
P3284
|
FINISHED |
| Object |
Too High
"Too High" is a socially conscious soul and funk song by Stevie Wonder that opens his acclaimed 1973 album Innervisions, addressing drug abuse through inventive lyrics and complex musical arrangements.
|
E325985
|
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: Too High | Statement: [Innervisions, hasTrack, Too High]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Too High Context triple: [Innervisions, hasTrack, Too High]
-
A.
So High
"So High" is an R&B/soul song by John Legend from his debut album "Get Lifted."
-
B.
So High
"So High" is a creative work associated with DeVon Harris, likely recognized as one of his most prominent or influential projects.
-
C.
Go Higher
"Go Higher" is a popular Afro-dancehall track by Ghanaian musician Stonebwoy that showcases his uplifting lyrics and energetic style.
-
D.
How Low
"How Low" is a popular hip-hop single by American rapper Ludacris, known for its catchy hook and heavy club-oriented production.
-
E.
If Not Higher
"If Not Higher" is a classic Yiddish short story by I. L. Peretz that gently satirizes religious hypocrisy while celebrating genuine piety and compassion.
- 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: Too High Triple: [Innervisions, hasTrack, Too High]
Generated description
"Too High" is a socially conscious soul and funk song by Stevie Wonder that opens his acclaimed 1973 album Innervisions, addressing drug abuse through inventive lyrics and complex musical arrangements.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Too High Target entity description: "Too High" is a socially conscious soul and funk song by Stevie Wonder that opens his acclaimed 1973 album Innervisions, addressing drug abuse through inventive lyrics and complex musical arrangements.
-
A.
So High
"So High" is an R&B/soul song by John Legend from his debut album "Get Lifted."
-
B.
So High
"So High" is a creative work associated with DeVon Harris, likely recognized as one of his most prominent or influential projects.
-
C.
Go Higher
"Go Higher" is a popular Afro-dancehall track by Ghanaian musician Stonebwoy that showcases his uplifting lyrics and energetic style.
-
D.
How Low
"How Low" is a popular hip-hop single by American rapper Ludacris, known for its catchy hook and heavy club-oriented production.
-
E.
If Not Higher
"If Not Higher" is a classic Yiddish short story by I. L. Peretz that gently satirizes religious hypocrisy while celebrating genuine piety and compassion.
- 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_69ad857c97d88190b26f9b1c90839c77 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada209fd24819088d887de0a4158f4 |
completed | March 8, 2026, 4:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b1f8a1fdc48190ae1c2fb9e5198336 |
completed | March 11, 2026, 11:20 p.m. |
| NEDg | Description generation | batch_69b1f9608e88819098f4044e54e0d908 |
completed | March 11, 2026, 11:23 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b1fe3c8f408190988e7c7e3a51057e |
completed | March 11, 2026, 11:43 p.m. |
Created at: March 8, 2026, 3:03 p.m.