Triple

T159758
Position Surface form Disambiguated ID Type / Status
Subject Lerner family E3256 entity
Predicate businessInterest P3849 FINISHED
Object Lerner Enterprises E19812 NE FINISHED

How this triple was built (3 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: Lerner Enterprises | Statement: [Lerner family, businessInterest, Lerner Enterprises]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lerner Enterprises
Context triple: [Lerner family, businessInterest, Lerner Enterprises]
  • A. Lerner Enterprises chosen
    Lerner Enterprises is a major privately held real estate development and management company based in the Washington, D.C. metropolitan area.
  • B. Cox Enterprises
    Cox Enterprises is a major U.S. privately held media, communications, and automotive services conglomerate.
  • C. Forever Enterprises
    Forever Enterprises is the private company that owns and operates the historic Hollywood Forever Cemetery in Los Angeles.
  • D. Broadway Limited
    Broadway Limited was a famous luxury passenger train that operated between New York City and Chicago, serving as one of the Pennsylvania Railroad’s premier flagship services.
  • E. Yankee Global Enterprises
    Yankee Global Enterprises is the holding company that controls the New York Yankees and related sports, media, and entertainment business interests.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: businessInterest
Context triple: [Lerner family, businessInterest, Lerner Enterprises]
  • A. market
    Indicates the act of promoting, advertising, or selling a product, service, or idea to potential buyers or target audiences.
  • B. sector
    Indicates that an entity operates in, belongs to, or is associated with a particular economic or industrial sector.
  • C. economicAspect
    Indicates that something is related to, characterized by, or has implications for economic factors, conditions, or outcomes.
  • D. economicUse
    Indicates that one entity utilizes another for economic purposes, such as production, trade, revenue generation, or cost-saving activities.
  • E. commercial chosen
    Indicates that one entity is engaged in a business-related or profit-oriented relationship, activity, or transaction with another entity.
  • F. None of above.

Provenance (4 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_69a2527757ec819090b8becb2cf1a862 completed Feb. 28, 2026, 2:27 a.m.
NER Named-entity recognition batch_69a25855baf48190a1b63f2e5865d957 completed Feb. 28, 2026, 2:52 a.m.
NED1 Entity disambiguation (via context triple) batch_69a2db53aaf081909577b743e3660e5c completed Feb. 28, 2026, 12:10 p.m.
PD Predicate disambiguation batch_69a25660c2a48190b4174d5e6da3cb9d completed Feb. 28, 2026, 2:43 a.m.
Created at: Feb. 28, 2026, 2:31 a.m.