Triple

T9303578
Position Surface form Disambiguated ID Type / Status
Subject Emmanuel Saez E223825 entity
Predicate influencedPolicyDebateOn P9239 FINISHED
Object taxation of top incomes in the United States LITERAL 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: taxation of top incomes in the United States | Statement: [Emmanuel Saez, influencedPolicyDebateOn, taxation of top incomes in the United States]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: influencedPolicyDebateOn
Context triple: [Emmanuel Saez, influencedPolicyDebateOn, taxation of top incomes in the United States]
  • A. influencedDiscussionOf chosen
    Indicates that one entity had an effect on the way another entity was discussed, framed, or debated.
  • B. influencedPolicyArea
    Indicates that one entity has affected, shaped, or guided the development, direction, or implementation of a particular policy area associated with another entity.
  • C. politicalInfluenceIn
    Indicates that an entity exerts or holds political influence within a specified place, jurisdiction, or political context.
  • D. ideologicalInfluence
    Indicates that one entity’s beliefs, values, or doctrines shape, guide, or significantly affect the ideology of another entity.
  • E. hasSignificantInfluenceIn
    Indicates that one entity exerts a substantial impact or shaping effect on another entity within a particular domain, context, or outcome.
  • F. None of above.

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_69ca8424d0f08190831e2e93c6533aeb completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd08d4c5e48190aa8c744a158e5fbb completed April 1, 2026, noon
PD Predicate disambiguation batch_69cc7a5ef1908190bc5ca166bb895af6 completed April 1, 2026, 1:52 a.m.
Created at: March 30, 2026, 7:36 p.m.