Triple
T16005473
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Who's Next |
E388205
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object |
Getting in Tune
"Getting in Tune" is a song by the Who, written by Pete Townshend and featured on their acclaimed 1971 rock album "Who's Next."
|
E1187679
|
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: Getting in Tune | Statement: [Who's Next, hasPart, Getting in Tune]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Getting in Tune Context triple: [Who's Next, hasPart, Getting in Tune]
-
A.
In Tune
In Tune is a long-running BBC Radio 3 magazine programme featuring live classical music performances, interviews with musicians, and arts news.
-
B.
The Tune-Up
The Tune-Up is a podcast cohosted by musician and radio personality Benny Horowitz, featuring conversations that blend music, culture, and personal storytelling.
-
C.
Harmonize
Harmonize is a Tanzanian singer and songwriter known for his Bongo Flava hits and for helping popularize East African music across the continent.
-
D.
Out of Tune
"Out of Tune" is a song by Canadian singer-songwriter Sarah McLachlan from her 2010 studio album *Laws of Illusion*.
-
E.
Out of Tune
Out of Tune is a solo album by British singer-songwriter Neil Halstead, known for its mellow, folk-infused sound and introspective songwriting.
- 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: Getting in Tune Triple: [Who's Next, hasPart, Getting in Tune]
Generated description
"Getting in Tune" is a song by the Who, written by Pete Townshend and featured on their acclaimed 1971 rock album "Who's Next."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Getting in Tune Target entity description: "Getting in Tune" is a song by the Who, written by Pete Townshend and featured on their acclaimed 1971 rock album "Who's Next."
-
A.
In Tune
In Tune is a long-running BBC Radio 3 magazine programme featuring live classical music performances, interviews with musicians, and arts news.
-
B.
The Tune-Up
The Tune-Up is a podcast cohosted by musician and radio personality Benny Horowitz, featuring conversations that blend music, culture, and personal storytelling.
-
C.
Harmonize
Harmonize is a Tanzanian singer and songwriter known for his Bongo Flava hits and for helping popularize East African music across the continent.
-
D.
Out of Tune
"Out of Tune" is a song by Canadian singer-songwriter Sarah McLachlan from her 2010 studio album *Laws of Illusion*.
-
E.
Out of Tune
Out of Tune is a solo album by British singer-songwriter Neil Halstead, known for its mellow, folk-infused sound and introspective songwriting.
- 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_69d86dabcb7c8190b6a39d6831d2fa1b |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e157ff33d88190b5a92f7ff70b24eb |
completed | April 16, 2026, 9:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffc3dec0c0819099b9007ad0fc6fb4 |
completed | May 9, 2026, 11:31 p.m. |
| NEDg | Description generation | batch_69ffc49bfa088190a6291f560ca9bdb5 |
completed | May 9, 2026, 11:34 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ffc538a5f0819097ea09f57d3cae35 |
completed | May 9, 2026, 11:37 p.m. |
Created at: April 10, 2026, 4:55 a.m.