Triple
T1501653
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ESPN Radio |
E33807
|
entity |
| Predicate | hasSisterNetwork |
P6991
|
FINISHED |
| Object | ESPNews |
E37939
|
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: ESPNews | Statement: [ESPN Radio, hasSisterNetwork, ESPNews]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ESPNews Context triple: [ESPN Radio, hasSisterNetwork, ESPNews]
-
A.
ESPNews
chosen
ESPNews is an American cable sports television channel owned by ESPN that focuses on sports news, highlights, and analysis.
-
B.
Wikinews
Wikinews is a free, collaboratively written online news source that is part of the Wikimedia family of projects.
-
C.
News On AIR
News On AIR is All India Radio’s official mobile application that provides live radio streaming, news updates, and programs from AIR and Doordarshan.
-
D.
Engadget
Engadget is a technology news and reviews website that covers consumer electronics, gadgets, and digital culture.
-
E.
CNN2
CNN2 was the original name of HLN, a U.S. cable news channel that focused on headline news and brief, continuously updated reports.
- 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_69a885f352a4819099b24ff15489dede |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69a907d4edd48190a03c85e1a0cc02b1 |
completed | March 5, 2026, 4:34 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad1cb3c5908190b3d5fe7a4dcaa234 |
completed | March 8, 2026, 6:52 a.m. |
Created at: March 4, 2026, 7:24 p.m.