Triple

T7301760
Position Surface form Disambiguated ID Type / Status
Subject John James Rickard Macleod E167872 entity
Predicate coWorkedWith P26607 FINISHED
Object James Collip E99434 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: James Collip | Statement: [John James Rickard Macleod, coWorkedWith, James Collip]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: James Collip
Context triple: [John James Rickard Macleod, coWorkedWith, James Collip]
  • A. James Collip chosen
    James Collip was a Canadian biochemist best known as a key member of the team that developed insulin as a treatment for diabetes.
  • B. Charles Collens
    Charles Collens was an American architect best known for his work on prominent Gothic Revival structures, including major churches and academic buildings in the early 20th century.
  • C. John Crowell
    John Crowell is a person notable enough to be recognized as a significant bearer of the surname Crowell.
  • D. Richard Collier
    Richard Collier is the time-traveling playwright protagonist of the romantic fantasy story "Somewhere in Time."
  • E. Paul Gilpin
    Paul Gilpin is a cinematographer best known for his work on the adventure film "Tarzan and the Lost City."
  • 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_69c6888c820881909fc68f689fe1c251 completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6ebb09164819099c4479d48c1688a completed March 27, 2026, 8:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69c802aa1c608190a58e7be2c12fcf7e completed March 28, 2026, 4:32 p.m.
Created at: March 27, 2026, 3:01 p.m.