Triple

T3464803
Position Surface form Disambiguated ID Type / Status
Subject Dow Jones & Company E73110 entity
Predicate product P490 FINISHED
Object Barron's
Barron's is a long-running American weekly financial newspaper and magazine known for its in-depth market analysis, investment insights, and coverage of stocks and the economy.
 E358316 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: Barron's | Statement: [Dow Jones & Company, product, Barron's]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Barron's
Context triple: [Dow Jones & Company, product, Barron's]
  • A. McGraw-Hill
    McGraw-Hill is a major American educational publishing company known for producing textbooks and academic resources across a wide range of disciplines.
  • B. Kaplan
    Kaplan is a surname most notably associated with Mordecai Kaplan, an influential 20th-century rabbi and theologian who founded Reconstructionist Judaism.
  • C. Barron
    Barron is the youngest son of former U.S. President Donald Trump and former First Lady Melania Trump.
  • D. Barron
    Barron is a surname of English origin borne by various notable individuals across fields such as law, politics, and the arts.
  • E. Pearson
    Pearson is a major British multinational publishing and education company known for its textbooks, assessments, and digital learning solutions worldwide.
  • 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: Barron's
Triple: [Dow Jones & Company, product, Barron's]
Generated description
Barron's is a long-running American weekly financial newspaper and magazine known for its in-depth market analysis, investment insights, and coverage of stocks and the economy.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Barron's
Target entity description: Barron's is a long-running American weekly financial newspaper and magazine known for its in-depth market analysis, investment insights, and coverage of stocks and the economy.
  • A. McGraw-Hill
    McGraw-Hill is a major American educational publishing company known for producing textbooks and academic resources across a wide range of disciplines.
  • B. Kaplan
    Kaplan is a surname most notably associated with Mordecai Kaplan, an influential 20th-century rabbi and theologian who founded Reconstructionist Judaism.
  • C. Barron
    Barron is the youngest son of former U.S. President Donald Trump and former First Lady Melania Trump.
  • D. Barron
    Barron is a surname of English origin borne by various notable individuals across fields such as law, politics, and the arts.
  • E. Pearson
    Pearson is a major British multinational publishing and education company known for its textbooks, assessments, and digital learning solutions worldwide.
  • 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_69ad85b224d481908ff8be51338d24ff completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adbb0dc100819084bb0c355c7bb15b completed March 8, 2026, 6:08 p.m.
NED1 Entity disambiguation (via context triple) batch_69b3612720308190b5a0d943a754883f completed March 13, 2026, 12:58 a.m.
NEDg Description generation batch_69b361c3f7508190aacfc24528546614 completed March 13, 2026, 1 a.m.
NED2 Entity disambiguation (via description) batch_69b3624afd088190883f14c1b17421af completed March 13, 2026, 1:03 a.m.
Created at: March 8, 2026, 3:17 p.m.