Triple
T10073084
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Milton Babbitt |
E213676
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
All Set
"All Set" is a 1957 twelve-tone jazz-influenced chamber work by American composer Milton Babbitt, written for jazz ensemble and noted for its complex serial techniques.
|
E839740
|
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: All Set | Statement: [Milton Babbitt, notableWork, All Set]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: All Set Context triple: [Milton Babbitt, notableWork, All Set]
-
A.
So Done
"So Done" is a soulful R&B single by Alicia Keys featuring Khalid, known for its mellow groove and themes of acceptance and emotional release.
-
B.
Ready Set Go
"Ready Set Go" is a track featured on Talib Kweli's hip-hop album "Prisoner of Conscious."
-
C.
The Ready Set
The Ready Set is the electropop project of American musician Jordan Witzigreuter, known for catchy, synth-driven pop songs like the hit single "Love Like Woe."
-
D.
All Is Well
All Is Well is a popular Chinese television drama series centered on complex family relationships and personal growth, in which Yao Chen plays a leading role.
-
E.
Always Ready
Always Ready is a Bolivian professional football club based in El Alto that competes in the country’s top division.
- 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: All Set Triple: [Milton Babbitt, notableWork, All Set]
Generated description
"All Set" is a 1957 twelve-tone jazz-influenced chamber work by American composer Milton Babbitt, written for jazz ensemble and noted for its complex serial techniques.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: All Set Target entity description: "All Set" is a 1957 twelve-tone jazz-influenced chamber work by American composer Milton Babbitt, written for jazz ensemble and noted for its complex serial techniques.
-
A.
So Done
"So Done" is a soulful R&B single by Alicia Keys featuring Khalid, known for its mellow groove and themes of acceptance and emotional release.
-
B.
Ready Set Go
"Ready Set Go" is a track featured on Talib Kweli's hip-hop album "Prisoner of Conscious."
-
C.
The Ready Set
The Ready Set is the electropop project of American musician Jordan Witzigreuter, known for catchy, synth-driven pop songs like the hit single "Love Like Woe."
-
D.
All Is Well
All Is Well is a popular Chinese television drama series centered on complex family relationships and personal growth, in which Yao Chen plays a leading role.
-
E.
Always Ready
Always Ready is a Bolivian professional football club based in El Alto that competes in the country’s top division.
- 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_69ca839add308190b57d53b4ec21f2d0 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cdd013c9d0819091ebe6fc399832de |
completed | April 2, 2026, 2:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d29ab376488190bfb3efdb3f240cca |
completed | April 5, 2026, 5:24 p.m. |
| NEDg | Description generation | batch_69d29d670ce881909e9881235790d9ff |
completed | April 5, 2026, 5:35 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d29e0779608190828c81cc8868bae2 |
completed | April 5, 2026, 5:38 p.m. |
Created at: March 30, 2026, 8:59 p.m.