Triple
T12629947
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | CJCL |
E301612
|
entity |
| Predicate | formerBranding |
P1501
|
FINISHED |
| Object | 590 The FAN |
E944902
|
NE FINISHED |
How this triple was built (2 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: 590 The FAN | Statement: [CJCL, formerBranding, 590 The FAN]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 590 The FAN Context triple: [CJCL, formerBranding, 590 The FAN]
-
A.
The Fan 590
chosen
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.
-
B.
FAN
FAN is the French acronym for Niger's national military, responsible for the country's defense and security operations.
-
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.
The Fan
The Fan is a 1996 psychological thriller film about an obsessive baseball fan whose fixation on his favorite player turns dangerously violent.
-
E.
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.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d7bdeaf49c8190b13800111fa77ea3 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d9610ce9e48190a496824002c0d2be |
completed | April 10, 2026, 8:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f65edafc7c819088bd641542a32e39 |
completed | May 2, 2026, 8:30 p.m. |
Created at: April 9, 2026, 5:15 p.m.