Triple
T68495
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Suzanne Farrell Ballet |
E1367
|
entity |
| Predicate | repertoireIncludes |
P3738
|
FINISHED |
| Object |
“Diamonds”
“Diamonds” is the third, grand and classical movement of George Balanchine’s full-length ballet *Jewels*, often performed as a standalone work by major ballet companies.
|
E6857
|
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: “Diamonds” | Statement: [The Suzanne Farrell Ballet, repertoireIncludes, “Diamonds”]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: “Diamonds” Context triple: [The Suzanne Farrell Ballet, repertoireIncludes, “Diamonds”]
-
A.
California Gold
California Gold is a distinctive shade of gold used as one of the official school colors representing the University of California, Berkeley.
-
B.
Crown
The Crown is the institution representing the British monarchy and the executive authority of the state, distinct from Parliament and the judiciary.
-
C.
Once Again
Once Again is John Legend's Grammy-winning second studio album, known for its soulful blend of R&B, pop, and neo-soul.
-
D.
Big Blue
Big Blue is the widely used nickname for the New York Giants, a professional American football team in the NFL.
-
E.
So High
"So High" is an R&B/soul song by John Legend from his debut album "Get Lifted."
- 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: “Diamonds” Triple: [The Suzanne Farrell Ballet, repertoireIncludes, “Diamonds”]
Generated description
“Diamonds” is the third, grand and classical movement of George Balanchine’s full-length ballet *Jewels*, often performed as a standalone work by major ballet companies.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: “Diamonds” Target entity description: “Diamonds” is the third, grand and classical movement of George Balanchine’s full-length ballet *Jewels*, often performed as a standalone work by major ballet companies.
-
A.
California Gold
California Gold is a distinctive shade of gold used as one of the official school colors representing the University of California, Berkeley.
-
B.
Crown
The Crown is the institution representing the British monarchy and the executive authority of the state, distinct from Parliament and the judiciary.
-
C.
Once Again
Once Again is John Legend's Grammy-winning second studio album, known for its soulful blend of R&B, pop, and neo-soul.
-
D.
Big Blue
Big Blue is the widely used nickname for the New York Giants, a professional American football team in the NFL.
-
E.
So High
"So High" is an R&B/soul song by John Legend from his debut album "Get Lifted."
- 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_69a24c06b3bc8190aa4ac89026115efc |
completed | Feb. 28, 2026, 1:59 a.m. |
| NER | Named-entity recognition | batch_69a2567b592c8190aaf692a18fcd2f1b |
completed | Feb. 28, 2026, 2:44 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a25abaa7dc8190b65fa9d213a40790 |
completed | Feb. 28, 2026, 3:02 a.m. |
| NEDg | Description generation | batch_69a25ba89b70819086966936d11a8dcf |
completed | Feb. 28, 2026, 3:06 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a25c29bf708190966d4a036ae69f10 |
completed | Feb. 28, 2026, 3:08 a.m. |
Created at: Feb. 28, 2026, 2:03 a.m.