Triple

T10117345
Position Surface form Disambiguated ID Type / Status
Subject The Anthem E223195 entity
Predicate founder P104 FINISHED
Object Seth Hurwitz
Seth Hurwitz is a prominent Washington, D.C.-based concert promoter and co-owner of I.M.P., known for operating major music venues such as the 9:30 Club and The Anthem.
 E852758 NE FINISHED

How this triple was built (4 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: Seth Hurwitz | Statement: [The Anthem, founder, Seth Hurwitz]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Seth Hurwitz
Context triple: [The Anthem, founder, Seth Hurwitz]
  • A. Seth Weinberg
    Seth Weinberg is an individual notable enough to be specifically referenced as a bearer of the Weinberg surname, though widely known public details about him are limited.
  • B. Seth Meyer
    Seth Meyer is the son of "Twilight" author Stephenie Meyer.
  • C. Seth Klein
    Seth Klein is a Canadian policy analyst and author known for his work on social and economic justice, including his leadership role at the British Columbia office of the Canadian Centre for Policy Alternatives.
  • D. Alex Segal
    Alex Segal was an American film, television, and theater director active in the mid-20th century.
  • E. Steven Haft
    Steven Haft is an American film producer known for his work on movies such as the cult Halloween comedy "Hocus Pocus."
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Seth Hurwitz
Triple: [The Anthem, founder, Seth Hurwitz]
Generated description
Seth Hurwitz is a prominent Washington, D.C.-based concert promoter and co-owner of I.M.P., known for operating major music venues such as the 9:30 Club and The Anthem.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Seth Hurwitz
Target entity description: Seth Hurwitz is a prominent Washington, D.C.-based concert promoter and co-owner of I.M.P., known for operating major music venues such as the 9:30 Club and The Anthem.
  • A. Seth Weinberg
    Seth Weinberg is an individual notable enough to be specifically referenced as a bearer of the Weinberg surname, though widely known public details about him are limited.
  • B. Seth Meyer
    Seth Meyer is the son of "Twilight" author Stephenie Meyer.
  • C. Seth Klein
    Seth Klein is a Canadian policy analyst and author known for his work on social and economic justice, including his leadership role at the British Columbia office of the Canadian Centre for Policy Alternatives.
  • D. Alex Segal
    Alex Segal was an American film, television, and theater director active in the mid-20th century.
  • E. Steven Haft
    Steven Haft is an American film producer known for his work on movies such as the cult Halloween comedy "Hocus Pocus."
  • F. None of above. chosen

Provenance (5 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_69ca8422047c81909d66b717b8b18cf3 completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cdd26317948190901197adbac01ed3 completed April 2, 2026, 2:20 a.m.
NED1 Entity disambiguation (via context triple) batch_69d6f6ca9ac88190ac5f0a25954a2606 completed April 9, 2026, 12:46 a.m.
NEDg Description generation batch_69d6fcaa16788190a4c7ef79a78febc6 completed April 9, 2026, 1:11 a.m.
NED2 Entity disambiguation (via description) batch_69d6fd6d705c81908e469068937a79b3 completed April 9, 2026, 1:14 a.m.
Created at: March 30, 2026, 9:04 p.m.