Triple

T1365768
Position Surface form Disambiguated ID Type / Status
Subject Martin Eberhard E29998 entity
Predicate coFounded P104 FINISHED
Object NuvoMedia E115007 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: NuvoMedia | Statement: [Martin Eberhard, coFounded, NuvoMedia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: NuvoMedia
Context triple: [Martin Eberhard, coFounded, NuvoMedia]
  • A. NuvoMedia chosen
    NuvoMedia was an early e-book technology company best known for creating the Rocket eBook, one of the first dedicated electronic book readers.
  • B. Ingenious Media
    Ingenious Media is a British media investment and production company known for financing and supporting major film projects, including the acclaimed adaptation of "Life of Pi."
  • C. Tandberg
    Tandberg is a Norwegian company best known for its video conferencing and telepresence solutions, which became part of Cisco Systems after its acquisition.
  • D. Milestone Media
    Milestone Media is a pioneering comic book company known for creating a diverse universe of predominantly Black and minority superheroes, including characters like Static, Icon, and Hardware, in partnership with DC Comics.
  • E. Dolby Laboratories
    Dolby Laboratories is an American company renowned for pioneering audio noise reduction and surround sound technologies used in cinemas, home entertainment, and consumer electronics worldwide.
  • 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_69a498f912008190a376a98b207b2071 completed March 1, 2026, 7:52 p.m.
NER Named-entity recognition batch_69a4c2d1d15481909d58b6fd8aa2e585 completed March 1, 2026, 10:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69acce7604908190a3754a20bdcb6266 completed March 8, 2026, 1:18 a.m.
Created at: March 1, 2026, 7:57 p.m.