Triple
T11750806
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rogers Media |
E279397
|
entity |
| Predicate | ownsBrand |
P1500
|
FINISHED |
| Object |
The Fan 590
The Fan 590 is a Toronto-based all-sports radio station known for its live game coverage, sports talk shows, and analysis of major professional leagues.
|
E944902
|
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: The Fan 590 | Statement: [Rogers Media, ownsBrand, The Fan 590]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: The Fan 590 Context triple: [Rogers Media, ownsBrand, The Fan 590]
-
A.
The Fan
The Fan is a 1996 psychological thriller film about an obsessive baseball fan whose fixation on his favorite player turns dangerously violent.
-
B.
The Fan
The Fan is the popular nickname for Beijing's National Indoor Stadium, a major multi-purpose arena known for hosting events during the 2008 and 2022 Olympic Games.
-
C.
FAN
FAN was a key rebel armed group in Chad that played a major role in the country’s internal conflicts during the late 20th century.
-
D.
FAN
FAN is the French acronym for Niger's national military, responsible for the country's defense and security operations.
-
E.
FAN-nee
FAN-nee is the stress pattern indicating that the primary emphasis falls on the first syllable of the name “Fannie.”
- 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: The Fan 590 Triple: [Rogers Media, ownsBrand, The Fan 590]
Generated description
The Fan 590 is a Toronto-based all-sports radio station known for its live game coverage, sports talk shows, and analysis of major professional leagues.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: The Fan 590 Target entity description: The Fan 590 is a Toronto-based all-sports radio station known for its live game coverage, sports talk shows, and analysis of major professional leagues.
-
A.
The Fan
The Fan is a 1996 psychological thriller film about an obsessive baseball fan whose fixation on his favorite player turns dangerously violent.
-
B.
The Fan
The Fan is the popular nickname for Beijing's National Indoor Stadium, a major multi-purpose arena known for hosting events during the 2008 and 2022 Olympic Games.
-
C.
FAN
FAN was a key rebel armed group in Chad that played a major role in the country’s internal conflicts during the late 20th century.
-
D.
FAN
FAN is the French acronym for Niger's national military, responsible for the country's defense and security operations.
-
E.
FAN-nee
FAN-nee is the stress pattern indicating that the primary emphasis falls on the first syllable of the name “Fannie.”
- 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_69d6ab01038c819080714901502c84fc |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a508b0c4819082fbcc27d559ea2f |
completed | April 10, 2026, 7:21 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f01a13550081909a26f57b30d68e03 |
completed | April 28, 2026, 2:23 a.m. |
| NEDg | Description generation | batch_69f0319622c48190bee6c906f08c0a8c |
completed | April 28, 2026, 4:03 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f05ad36e4c8190b7239e5b33713369 |
completed | April 28, 2026, 6:59 a.m. |
Created at: April 8, 2026, 9:41 p.m.