Triple
T16926418
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Atlanta Symphony Orchestra |
E410583
|
entity |
| Predicate | recordLabel |
P1500
|
FINISHED |
| Object |
ASO Media
ASO Media is the in-house recording label of the Atlanta Symphony Orchestra, dedicated to producing and distributing the orchestra’s performances.
|
E1241306
|
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: ASO Media | Statement: [Atlanta Symphony Orchestra, recordLabel, ASO Media]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ASO Media Context triple: [Atlanta Symphony Orchestra, recordLabel, ASO Media]
-
A.
ASO
ASO is one of ICANN’s supporting organizations responsible for overseeing global IP address policy development and coordination.
-
B.
ASO
ASO is the Air Staff Office of Japan, the central administrative body responsible for planning and managing operations of the Japan Air Self-Defense Force.
-
C.
ASO
ASO is the stock ticker symbol for Academy Sports + Outdoors, a U.S.-based sporting goods and outdoor recreation retail chain.
-
D.
ASO
ASO is a major French sports event management company best known for organizing the Tour de France and other prominent international competitions.
-
E.
ApolloMedia
ApolloMedia is a film production company known for financing and producing feature films such as the thriller "Liberty Stands Still."
- 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: ASO Media Triple: [Atlanta Symphony Orchestra, recordLabel, ASO Media]
Generated description
ASO Media is the in-house recording label of the Atlanta Symphony Orchestra, dedicated to producing and distributing the orchestra’s performances.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: ASO Media Target entity description: ASO Media is the in-house recording label of the Atlanta Symphony Orchestra, dedicated to producing and distributing the orchestra’s performances.
-
A.
ASO
ASO is the Air Staff Office of Japan, the central administrative body responsible for planning and managing operations of the Japan Air Self-Defense Force.
-
B.
ASO
ASO is one of ICANN’s supporting organizations responsible for overseeing global IP address policy development and coordination.
-
C.
ASO
ASO is a major French sports event management company best known for organizing the Tour de France and other prominent international competitions.
-
D.
ASO
ASO is the stock ticker symbol for Academy Sports + Outdoors, a U.S.-based sporting goods and outdoor recreation retail chain.
-
E.
ApolloMedia
ApolloMedia is a film production company known for financing and producing feature films such as the thriller "Liberty Stands Still."
- 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_69d886c7b1e481908c3766dfa8c13458 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3cdf2dcd881909798bd245e18c599 |
completed | April 18, 2026, 6:31 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00cfd8a88c8190adda386b62fe543c |
completed | May 10, 2026, 6:35 p.m. |
| NEDg | Description generation | batch_6a00d0a0852c8190991af93d50fa2216 |
completed | May 10, 2026, 6:38 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a00d14b83d88190b3dbc124d5b33029 |
completed | May 10, 2026, 6:41 p.m. |
Created at: April 10, 2026, 5:30 a.m.