Triple

T13289312
Position Surface form Disambiguated ID Type / Status
Subject Dave Goldberg E316524 entity
Predicate notableWork P4 FINISHED
Object LAUNCH Media E1033031 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: LAUNCH Media | Statement: [Dave Goldberg, notableWork, LAUNCH Media]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: LAUNCH Media
Context triple: [Dave Goldberg, notableWork, LAUNCH Media]
  • A. LAUNCH Media chosen
    LAUNCH Media was an early online music and entertainment company best known for its personalized internet radio and music video services in the late 1990s and early 2000s.
  • B. Mediasch
    Mediasch is the German name for Mediaș, a historic Transylvanian town in present-day Romania known for its medieval architecture and fortified churches.
  • C. Katalyst Media
    Katalyst Media is a production company co-founded by actor and entrepreneur Ashton Kutcher, known for creating television, film, and digital media content.
  • D. Caliber Media Company
    Caliber Media Company is an American film and television production company known for developing and producing independent genre features.
  • E. Brigade Media
    Brigade Media was a civic technology startup focused on increasing political engagement and voter participation through a social networking platform.
  • 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_69d806b349908190a9a61dd9323bf153 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d99076aeec8190b0cb883ab60d3f6b completed April 11, 2026, 12:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69f71f20d7188190bb8643a7e17aba5c completed May 3, 2026, 10:10 a.m.
Created at: April 9, 2026, 9:27 p.m.