Triple
T8567490
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dance Symphony |
E202841
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object |
adapted material from Grohg
Adapted material from Grohg is a section of Aaron Copland’s Dance Symphony derived from his earlier, unfinished ballet score Grohg.
|
E743648
|
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: adapted material from Grohg | Statement: [Dance Symphony, hasPart, adapted material from Grohg]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: adapted material from Grohg Context triple: [Dance Symphony, hasPart, adapted material from Grohg]
-
A.
Groth
Groth is a German surname borne by various notable individuals, including actors, athletes, and academics.
-
B.
GRO
GRO is the FAA airport code assigned to Rota International Airport, a public airport serving the island of Rota in the Northern Mariana Islands.
-
C.
GRG
GRG is the standard abbreviation for the Grand Rapids Griffins, a professional ice hockey team in the American Hockey League.
-
D.
Idu na Grozu
"Idu na Grozu" is a notable work by Soviet and Russian writer Daniil Granin, known for its exploration of moral and social themes in mid-20th-century Soviet life.
-
E.
GOLLOG
GOLLOG is the cargo and logistics division of Brazilian airline GOL Linhas Aéreas Inteligentes, providing air and ground freight services.
- 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: adapted material from Grohg Triple: [Dance Symphony, hasPart, adapted material from Grohg]
Generated description
Adapted material from Grohg is a section of Aaron Copland’s Dance Symphony derived from his earlier, unfinished ballet score Grohg.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: adapted material from Grohg Target entity description: Adapted material from Grohg is a section of Aaron Copland’s Dance Symphony derived from his earlier, unfinished ballet score Grohg.
-
A.
Groth
Groth is a German surname borne by various notable individuals, including actors, athletes, and academics.
-
B.
GRO
GRO is the FAA airport code assigned to Rota International Airport, a public airport serving the island of Rota in the Northern Mariana Islands.
-
C.
GRG
GRG is the standard abbreviation for the Grand Rapids Griffins, a professional ice hockey team in the American Hockey League.
-
D.
Idu na Grozu
"Idu na Grozu" is a notable work by Soviet and Russian writer Daniil Granin, known for its exploration of moral and social themes in mid-20th-century Soviet life.
-
E.
GOLLOG
GOLLOG is the cargo and logistics division of Brazilian airline GOL Linhas Aéreas Inteligentes, providing air and ground freight services.
- 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_69ca8327b0a881908606ff860713964d |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe9d5d4ac8190a4d74c88b872d0b7 |
completed | March 31, 2026, 3:35 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce897098388190a1d445978d97def3 |
completed | April 2, 2026, 3:21 p.m. |
| NEDg | Description generation | batch_69ce8c9727208190adf14e7d2ba7af17 |
completed | April 2, 2026, 3:34 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ce8d595d80819093a1b849bcb3c7c7 |
completed | April 2, 2026, 3:38 p.m. |
Created at: March 30, 2026, 6:21 p.m.