Triple

T10288543
Position Surface form Disambiguated ID Type / Status
Subject Martha Chase E241299 entity
Predicate doctoralAdvisor P167 FINISHED
Object Jean Weigle E670031 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: Jean Weigle | Statement: [Martha Chase, doctoralAdvisor, Jean Weigle]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jean Weigle
Context triple: [Martha Chase, doctoralAdvisor, Jean Weigle]
  • A. Jean Weigle chosen
    Jean Weigle was a Swiss-born physicist and molecular biologist known for his pioneering work on bacteriophages and contributions to the early development of molecular genetics.
  • B. Cynthia Ludwig
    Cynthia Ludwig is a film editor known for her work on the 2009 horror film "My Bloody Valentine 3D."
  • C. Sherry Stringfield
    Sherry Stringfield is an American actress best known for her role as Dr. Susan Lewis on the television medical drama "ER."
  • D. Carolyn Diehl
    Carolyn Diehl is known as the wife of American singer and actor Gary Crosby, the son of legendary entertainer Bing Crosby.
  • E. Dena Dietrich
    Dena Dietrich was an American actress best known for her television work and iconic “Mother Nature” margarine commercials in the 1970s.
  • 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_69d381aaafc08190af475ef58dc16aba completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4d2b9d76c8190b1ef6ecf4c1a2a09 completed April 7, 2026, 9:47 a.m.
NED1 Entity disambiguation (via context triple) batch_69deb028c0788190ae8d6750f2f9634e completed April 14, 2026, 9:22 p.m.
Created at: April 6, 2026, 11:41 a.m.