Triple
T16323641
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | WBZZ |
E396359
|
entity |
| Predicate | branding |
P1500
|
FINISHED |
| Object |
100.7 Star
100.7 Star is a contemporary radio brand identity used by station WBZZ to market its music and programming.
|
E1206866
|
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: 100.7 Star | Statement: [WBZZ, branding, 100.7 Star]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 100.7 Star Context triple: [WBZZ, branding, 100.7 Star]
-
A.
iHeartMedia
iHeartMedia is a major American mass media and entertainment company best known for its extensive portfolio of radio stations, digital audio platforms, and live events.
-
B.
92.3 K-Rock
92.3 K-Rock was a well-known New York City rock radio brand associated with station WXRK, famous for its alternative and hard rock format and high-profile personalities.
-
C.
700 WLW
700 WLW is a long-running, high-power AM radio station based in Cincinnati, Ohio, known for its news, talk, and sports programming.
-
D.
Radio 5
Radio 5 is a Spanish public radio station operated by RTVE that focuses on continuous news and current affairs coverage.
-
E.
Gold 104.3
Gold 104.3 is a Melbourne-based commercial radio station known for its classic hits format and popular breakfast shows.
- 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: 100.7 Star Triple: [WBZZ, branding, 100.7 Star]
Generated description
100.7 Star is a contemporary radio brand identity used by station WBZZ to market its music and programming.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: 100.7 Star Target entity description: 100.7 Star is a contemporary radio brand identity used by station WBZZ to market its music and programming.
-
A.
iHeartMedia
iHeartMedia is a major American mass media and entertainment company best known for its extensive portfolio of radio stations, digital audio platforms, and live events.
-
B.
92.3 K-Rock
92.3 K-Rock was a well-known New York City rock radio brand associated with station WXRK, famous for its alternative and hard rock format and high-profile personalities.
-
C.
700 WLW
700 WLW is a long-running, high-power AM radio station based in Cincinnati, Ohio, known for its news, talk, and sports programming.
-
D.
Radio 5
Radio 5 is a Spanish public radio station operated by RTVE that focuses on continuous news and current affairs coverage.
-
E.
Gold 104.3
Gold 104.3 is a Melbourne-based commercial radio station known for its classic hits format and popular breakfast shows.
- 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_69d87f255b788190a400eba031dd85d8 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e296b82fe88190a448597b7827f859 |
completed | April 17, 2026, 8:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00260ab4208190900f21cb4f08f926 |
completed | May 10, 2026, 6:30 a.m. |
| NEDg | Description generation | batch_6a00276bc80c819083c88ea52c67cdad |
completed | May 10, 2026, 6:36 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a00281b056c8190bbfc4897a8d3973b |
completed | May 10, 2026, 6:39 a.m. |
Created at: April 10, 2026, 5:06 a.m.