Triple

T17318351
Position Surface form Disambiguated ID Type / Status
Subject DHL E420489 entity
Predicate foundedBy P104 FINISHED
Object Robert Lynn NE NERFINISHED

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: Robert Lynn | Statement: [DHL, foundedBy, Robert Lynn]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Robert Lynn
Context triple: [DHL, foundedBy, Robert Lynn]
  • A. Robert Lynn chosen
    Robert Lynn was a co-founder of DHL, the global logistics and courier company that helped pioneer international express shipping.
  • B. Lyndon Byers
    Lyndon Byers is a former Canadian professional ice hockey right winger best known for his tough, physical play with the Boston Bruins in the NHL.
  • C. Robert Lynn Williamson
    Robert Lynn Williamson was an American tobacco executive best known as a founder of the major cigarette manufacturer Brown & Williamson.
  • D. Harlan Elldridge
    Harlan Elldridge is a quirky, good-natured supporting character from the American television sitcom "Evening Shade."
  • E. Donald H. Lynn
    Donald H. Lynn was a physicist and researcher known for his involvement in scientific investigations of the Shroud of Turin as part of the Shroud of Turin Research Project.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d889d22b848190a4663d0b8f8f76e7 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e4399f84a881908dd99ecd7cc02708 completed April 19, 2026, 2:10 a.m.
Created at: April 10, 2026, 5:43 a.m.