Triple

T4282410
Position Surface form Disambiguated ID Type / Status
Subject Erdman Penner E97183 entity
Predicate name P16 FINISHED
Object Erdman Penner E97183 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: Erdman Penner | Statement: [Erdman Penner, name, Erdman Penner]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Erdman Penner
Context triple: [Erdman Penner, name, Erdman Penner]
  • A. Erdman Penner chosen
    Erdman Penner was a Canadian-born screenwriter and story artist best known for his work on classic Walt Disney animated films in the mid-20th century.
  • B. John Knill
    John Knill is a distinguished geologist recognized for his significant contributions to the field, as evidenced by honors such as the William Smith Medal.
  • C. Nathan H. Knorr
    Nathan H. Knorr was the third president of the Watch Tower Bible and Tract Society, under whose leadership Jehovah’s Witnesses expanded globally and emphasized systematic Bible education.
  • D. Tim Suhrstedt
    Tim Suhrstedt is an American cinematographer known for his work on numerous feature films and television projects, often recognized for his naturalistic visual style.
  • E. Peter D. Martin
    Peter D. Martin was an American writer, academic, and publisher best known as the co-founder of San Francisco’s influential City Lights Bookstore and its associated publishing house.
  • 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_69b3454595848190a0e6bbb6a2bea040 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b3503938f481909505e0a322dd2b6c completed March 12, 2026, 11:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5b7bec1a88190bd36ed6d48e1c94e completed March 14, 2026, 7:32 p.m.
Created at: March 12, 2026, 11:07 p.m.