Triple

T7394034
Position Surface form Disambiguated ID Type / Status
Subject Code for America E170575 entity
Predicate notableProgram P4 FINISHED
Object Brigade Network E435081 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: Brigade Network | Statement: [Code for America, notableProgram, Brigade Network]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Brigade Network
Context triple: [Code for America, notableProgram, Brigade Network]
  • A. Aurora Network
    Aurora Network is a European university alliance focused on collaboration in research, education, and innovation among its member institutions.
  • B. Brigade Media chosen
    Brigade Media was a civic technology startup focused on increasing political engagement and voter participation through a social networking platform.
  • C. Sunshine Network
    Sunshine Network is a regional sports television network known for broadcasting local and collegiate sporting events.
  • D. Emerald Network
    The Emerald Network is a pan-European ecological network of protected areas aimed at conserving habitats and species of special importance under the Bern Convention.
  • E. Magnolia Network
    Magnolia Network is a lifestyle television network and streaming brand founded by Chip and Joanna Gaines, featuring home renovation, design, cooking, and family-oriented programming.
  • 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_69c68a5f04188190ac266569c9280347 completed March 27, 2026, 1:47 p.m.
NER Named-entity recognition batch_69c6f2263b48819089319a2a2f0d3357 completed March 27, 2026, 9:09 p.m.
NED1 Entity disambiguation (via context triple) batch_69c810f82ba08190919924b0994a2eee completed March 28, 2026, 5:33 p.m.
Created at: March 27, 2026, 3:09 p.m.