Triple

T14202000
Position Surface form Disambiguated ID Type / Status
Subject Tom Joyner E351985 entity
Predicate employer P7 FINISHED
Object Reach Media E488240 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: Reach Media | Statement: [Tom Joyner, employer, Reach Media]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Reach Media
Context triple: [Tom Joyner, employer, Reach Media]
  • A. Reach Media chosen
    Reach Media is a U.S.-based media company known for producing and syndicating urban-focused radio programming and digital content, including popular nationally syndicated shows.
  • B. Magnite
    Magnite is a leading independent sell-side advertising platform that helps publishers manage and monetize digital ad inventory across channels like CTV, video, and display.
  • C. Xandr
    Xandr is a digital advertising and analytics platform that provides tools for programmatic ad buying, selling, and campaign optimization across multiple channels.
  • D. Mindshare
    Mindshare is a global media and marketing services agency known for planning and buying advertising across multiple channels for major brands.
  • E. PubMatic
    PubMatic is a digital advertising technology company that provides a sell-side platform (SSP) enabling publishers to manage and optimize programmatic ad inventory and revenue.
  • 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_69d827894ac0819097803e57f3227b23 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de61f589a08190b71ad4e69d92ffd0 completed April 14, 2026, 3:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd194f13688190af7ef5ceb92a73ff completed May 7, 2026, 10:59 p.m.
Created at: April 10, 2026, 1:05 a.m.