Triple
T3521522
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tribune Company |
E74431
|
entity |
| Predicate | owned |
P347
|
FINISHED |
| Object | WGN America |
E98192
|
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: WGN America | Statement: [Tribune Company, owned, WGN America]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: WGN America Context triple: [Tribune Company, owned, WGN America]
-
A.
WGN America
chosen
WGN America is a U.S.-based cable television network known for airing syndicated series, movies, and original programming to a national audience.
-
B.
WGN-TV
WGN-TV is a Chicago-based television station and former national superstation known for its local news, sports broadcasts, and syndicated programming.
-
C.
WGN Radio
WGN Radio is a historic Chicago-based AM radio station known for its news, talk, and sports programming and long association with the Chicago Tribune.
-
D.
GMA News TV
GMA News TV is a Philippine free-to-air television network known for its news, public affairs, and informational programming.
-
E.
Nine Network
Nine Network is a major Australian commercial television network known for broadcasting popular news, sports, and entertainment programming nationwide.
- 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_69ad85d0c5488190a3d8e02ebd01a1aa |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adbc4c6ac8819096e9c773f3cccbfb |
completed | March 8, 2026, 6:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b38bc74a208190b3fe59e7b56a3d0d |
completed | March 13, 2026, 4 a.m. |
Created at: March 8, 2026, 3:19 p.m.