Triple
T2602239
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Audacy, Inc. |
E58370
|
entity |
| Predicate | hasBrand |
P1500
|
FINISHED |
| Object |
Cadence13
Cadence13 is a prominent podcast production and distribution company known for creating and monetizing popular audio content across a wide range of genres.
|
E282212
|
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: Cadence13 | Statement: [Audacy, Inc., hasBrand, Cadence13]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cadence13 Context triple: [Audacy, Inc., hasBrand, Cadence13]
-
A.
Cnc
Cnc is the standard three-letter IAU abbreviation for the constellation Cancer in the zodiac.
-
B.
Cascade
Cascade is a communications payload component associated with the CASSIOPE satellite mission, designed to support advanced space-based data and messaging services.
-
C.
Cade-IDEPE
Cade-IDEPE is an architectural and engineering firm known for designing major projects such as the Costanera Center complex in Santiago, Chile.
-
D.
Nicado
Nicado is a Spanish-language surname most notably borne by Cuban mathematician and academic leader Miriam Nicado García.
-
E.
CADE
CADE is a leading international conference focused on research and advances in automated reasoning and automated theorem proving.
- 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: Cadence13 Triple: [Audacy, Inc., hasBrand, Cadence13]
Generated description
Cadence13 is a prominent podcast production and distribution company known for creating and monetizing popular audio content across a wide range of genres.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Cadence13 Target entity description: Cadence13 is a prominent podcast production and distribution company known for creating and monetizing popular audio content across a wide range of genres.
-
A.
Cnc
Cnc is the standard three-letter IAU abbreviation for the constellation Cancer in the zodiac.
-
B.
Cascade
Cascade is a communications payload component associated with the CASSIOPE satellite mission, designed to support advanced space-based data and messaging services.
-
C.
Cade-IDEPE
Cade-IDEPE is an architectural and engineering firm known for designing major projects such as the Costanera Center complex in Santiago, Chile.
-
D.
Nicado
Nicado is a Spanish-language surname most notably borne by Cuban mathematician and academic leader Miriam Nicado García.
-
E.
CADE
CADE is a leading international conference focused on research and advances in automated reasoning and automated theorem proving.
- 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_69ab4ac14040819098b13f4a27d5c8ff |
completed | March 6, 2026, 9:44 p.m. |
| NER | Named-entity recognition | batch_69abd459ca6c81908505be96d097b739 |
completed | March 7, 2026, 7:31 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69af83d37de081909467f8caa17ce3a9 |
completed | March 10, 2026, 2:37 a.m. |
| NEDg | Description generation | batch_69af8501adc4819092035d7e55524fc8 |
completed | March 10, 2026, 2:42 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69af85a6060c8190a80d5633d1b8a9d5 |
completed | March 10, 2026, 2:44 a.m. |
Created at: March 6, 2026, 9:49 p.m.