Triple
T16317996
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mike Joy |
E396220
|
entity |
| Predicate | employer |
P7
|
FINISHED |
| Object |
MRN Radio
MRN Radio is a prominent motorsports radio network best known for providing live radio coverage of NASCAR races and related programming.
|
E1206991
|
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: MRN Radio | Statement: [Mike Joy, employer, MRN Radio]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: MRN Radio Context triple: [Mike Joy, employer, MRN Radio]
-
A.
MRN
MRN is the commonly used abbreviation for the Rhine-Neckar metropolitan region in southwestern Germany, a major economic and cultural hub spanning parts of Baden-Württemberg, Hesse, and Rhineland-Palatinate.
-
B.
Magic Radio
Magic Radio is a UK-based commercial radio station known for playing adult contemporary music and featuring popular presenters including Ronan Keating.
-
C.
M&R
M&R is the commonly used abbreviation for Murray & Roberts, a South African engineering and construction services company.
-
D.
RMN
RMN is the three-letter IATA airport code assigned to Stafford Regional Airport in Stafford, Virginia, United States.
-
E.
RMN
RMN is the acronym for the Royal Malaysian Navy, the naval warfare branch of Malaysia’s armed forces.
- 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: MRN Radio Triple: [Mike Joy, employer, MRN Radio]
Generated description
MRN Radio is a prominent motorsports radio network best known for providing live radio coverage of NASCAR races and related programming.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: MRN Radio Target entity description: MRN Radio is a prominent motorsports radio network best known for providing live radio coverage of NASCAR races and related programming.
-
A.
MRN
MRN is the commonly used abbreviation for the Rhine-Neckar metropolitan region in southwestern Germany, a major economic and cultural hub spanning parts of Baden-Württemberg, Hesse, and Rhineland-Palatinate.
-
B.
Magic Radio
Magic Radio is a UK-based commercial radio station known for playing adult contemporary music and featuring popular presenters including Ronan Keating.
-
C.
M&R
M&R is the commonly used abbreviation for Murray & Roberts, a South African engineering and construction services company.
-
D.
RMN
RMN is the three-letter IATA airport code assigned to Stafford Regional Airport in Stafford, Virginia, United States.
-
E.
RMN
RMN is the acronym for the Royal Malaysian Navy, the naval warfare branch of Malaysia’s armed forces.
- 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_69e296b31b988190bb1fde36dae11bbd |
completed | April 17, 2026, 8:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a002606f0e0819081f50dae9e6b7a0d |
completed | May 10, 2026, 6:30 a.m. |
| NEDg | Description generation | batch_6a00275e44d481909bed62779ea9a0d7 |
completed | May 10, 2026, 6:36 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0027f99d948190b22812f0c9a2c0ff |
completed | May 10, 2026, 6:38 a.m. |
Created at: April 10, 2026, 5:06 a.m.