Triple

T12780587
Position Surface form Disambiguated ID Type / Status
Subject Lord & Thomas E305495 entity
Predicate influencedBy P9 FINISHED
Object Albert Lasker E63309 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: Albert Lasker | Statement: [Lord & Thomas, influencedBy, Albert Lasker]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Albert Lasker
Context triple: [Lord & Thomas, influencedBy, Albert Lasker]
  • A. Albert Lasker chosen
    Albert Lasker was an influential American advertising pioneer often called the "father of modern advertising," whose philanthropy significantly advanced medical research.
  • B. Frederick M. Warburg
    Frederick M. Warburg was an American investment banker and prominent member of the influential Warburg banking family.
  • C. Leonard B. Loeb
    Leonard B. Loeb was an American physicist known for his work in ionized gases and electrical discharges, and for mentoring notable students such as Norris Bradbury.
  • D. Francis W. Kelsey
    Francis W. Kelsey was an American classical scholar and archaeologist at the University of Michigan, renowned for his work on ancient Mediterranean cultures and for building major archaeological collections.
  • E. Daniel Guggenheim
    Daniel Guggenheim was an American industrialist and philanthropist best known for using his mining fortune to support aviation research and development in the early 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_69d7bdf2b43c819098ae5aa68e61ea58 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d96e5a5680819095dcd491486d23e7 completed April 10, 2026, 9:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6a5427be88190956c616b832d9841 completed May 3, 2026, 1:30 a.m.
Created at: April 9, 2026, 5:29 p.m.