Triple

T3609506
Position Surface form Disambiguated ID Type / Status
Subject Annette Lerner E76450 entity
Predicate familyBusiness P8006 FINISHED
Object Lerner Enterprises E19812 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: Lerner Enterprises | Statement: [Annette Lerner, familyBusiness, Lerner Enterprises]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lerner Enterprises
Context triple: [Annette Lerner, familyBusiness, 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. The Tisch Company
    The Tisch Company is a film production company best known for producing the acclaimed 1994 drama "Forrest Gump."
  • C. Carsey-Werner Company
    Carsey-Werner Company is an American television production company best known for creating and producing hit sitcoms such as The Cosby Show, Roseanne, and 3rd Rock from the Sun.
  • D. Lee Enterprises
    Lee Enterprises is a major American media company that owns and operates numerous newspapers and digital publications across the United States.
  • E. Leo Feist, Inc.
    Leo Feist, Inc. was a prominent American music publishing company known for issuing popular songs and standards during the early to mid-20th century.
  • 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_69ad85da0ba481908b3b48c69efe2b98 completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc22b824c8190a85b36185d4957bb completed March 8, 2026, 6:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4330de7a08190933aa7e9dc0a65be completed March 13, 2026, 3:53 p.m.
Created at: March 8, 2026, 3:23 p.m.