Triple
T9110010
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Love and Music |
E218574
|
entity |
| Predicate | hasTrack |
P3284
|
FINISHED |
| Object |
Something to Reach For
"Something to Reach For" is a song featured on the album *Love and Music*.
|
E778778
|
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: Something to Reach For | Statement: [Love and Music, hasTrack, Something to Reach For]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Something to Reach For Context triple: [Love and Music, hasTrack, Something to Reach For]
-
A.
Look No Further
Look No Further is a lesser-known musical work composed by the renowned American songwriter Richard Rodgers.
-
B.
Ever Upward
Ever Upward is the official English motto of the U.S. state of New York, expressing a spirit of continual progress and aspiration.
-
C.
Those Who Seek
"Those Who Seek" is a Soviet-era novel by Daniil Granin that explores the moral and personal dilemmas of scientists and engineers working within the constraints of a bureaucratic system.
-
D.
There for You
"There for You" is a 2017 electronic dance music single by Dutch DJ and producer Martin Garrix, featuring vocals from Australian singer Troye Sivan.
-
E.
Beg for It
"Beg for It" is a hip hop single by Australian rapper Iggy Azalea featuring Danish singer MØ, known for its catchy hook and club-oriented production.
- 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: Something to Reach For Triple: [Love and Music, hasTrack, Something to Reach For]
Generated description
"Something to Reach For" is a song featured on the album *Love and Music*.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Something to Reach For Target entity description: "Something to Reach For" is a song featured on the album *Love and Music*.
-
A.
Look No Further
Look No Further is a lesser-known musical work composed by the renowned American songwriter Richard Rodgers.
-
B.
Ever Upward
Ever Upward is the official English motto of the U.S. state of New York, expressing a spirit of continual progress and aspiration.
-
C.
Those Who Seek
"Those Who Seek" is a Soviet-era novel by Daniil Granin that explores the moral and personal dilemmas of scientists and engineers working within the constraints of a bureaucratic system.
-
D.
There for You
"There for You" is a 2017 electronic dance music single by Dutch DJ and producer Martin Garrix, featuring vocals from Australian singer Troye Sivan.
-
E.
Beg for It
"Beg for It" is a hip hop single by Australian rapper Iggy Azalea featuring Danish singer MØ, known for its catchy hook and club-oriented production.
- 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_69ca83dc94ac8190b9ef42684d36ff39 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cca845d9b0819084230e7cdd92dee0 |
completed | April 1, 2026, 5:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d03038dba48190991cb76576349bc3 |
completed | April 3, 2026, 9:25 p.m. |
| NEDg | Description generation | batch_69d031a55a88819090cea52b192e9f55 |
completed | April 3, 2026, 9:31 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d03252748c8190bd362f205a6fc20a |
completed | April 3, 2026, 9:34 p.m. |
Created at: March 30, 2026, 7:16 p.m.