Triple

T5069691
Position Surface form Disambiguated ID Type / Status
Subject Crimpshrine E114242 entity
Predicate hasFormerMember P1168 FINISHED
Object Pete Rypins E490673 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: Pete Rypins | Statement: [Crimpshrine, hasFormerMember, Pete Rypins]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pete Rypins
Context triple: [Crimpshrine, hasFormerMember, Pete Rypins]
  • A. Pete Rypins chosen
    Pete Rypins is a musician best known as the bassist for the influential East Bay punk band Crimpshrine.
  • B. Phillip Berman
    Phillip Berman is a writer best known for coauthoring the spiritual and philosophical work "Reason for Hope: A Spiritual Journey" with primatologist Jane Goodall.
  • C. Paul Isenberg
    Paul Isenberg was a 19th-century German-born businessman and plantation manager in Hawaii who became a prominent figure in the islands’ sugar industry and local politics.
  • D. Mitch Kertzman
    Mitch Kertzman is an American technology executive and entrepreneur best known for his leadership roles in the software and semiconductor industries, including at companies like LSI Logic and Sybase.
  • E. Lawrence Gresser
    Lawrence Gresser was an American politician who served as the inaugural Manhattan Borough President in New York 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_69bd443cf28c8190ad371d603563dbdd completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd749f47908190891ac8432c5b5615 completed March 20, 2026, 4:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69bec35c629c81909c3b0347861d544f completed March 21, 2026, 4:12 p.m.
Created at: March 20, 2026, 1:39 p.m.