Triple
T13788890
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Herring Networks, Inc. |
E331338
|
entity |
| Predicate | alternativeName |
P39
|
FINISHED |
| Object | Herring Networks |
E331338
|
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: Herring Networks | Statement: [Herring Networks, Inc., alternativeName, Herring Networks]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Herring Networks Context triple: [Herring Networks, Inc., alternativeName, Herring Networks]
-
A.
Herring Networks, Inc.
chosen
Herring Networks, Inc. is a conservative-leaning American media company best known for operating the cable news channel One America News Network (OANN).
-
B.
Aurora Network
Aurora Network is a European university alliance focused on collaboration in research, education, and innovation among its member institutions.
-
C.
Helionix
Helionix is an advanced, integrated avionics system developed by Airbus Helicopters to enhance situational awareness, safety, and mission efficiency in modern rotorcraft.
-
D.
Barracuda Networks
Barracuda Networks is a cybersecurity and data protection company known for providing email security, network security, and backup solutions for businesses.
-
E.
Nitelink
Nitelink is Dublin’s late-night bus service network, providing after-hours public transport on key routes across the city and suburbs.
- 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_69d81c58feb08190a77bca8bf7d6d20f |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de024af32c8190a9bd1278e09564ba |
completed | April 14, 2026, 9 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7b07f5cf48190b59827efb5918a95 |
completed | May 3, 2026, 8:30 p.m. |
Created at: April 9, 2026, 10:11 p.m.