Triple

T14102729
Position Surface form Disambiguated ID Type / Status
Subject 22 Jump Street E339422 entity
Predicate mainCharacter P1183 FINISHED
Object Morton Schmidt E1123293 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: Morton Schmidt | Statement: [22 Jump Street, mainCharacter, Morton Schmidt]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Morton Schmidt
Context triple: [22 Jump Street, mainCharacter, Morton Schmidt]
  • A. Morton Schmidt chosen
    Morton Schmidt is a socially awkward but well-meaning rookie cop, portrayed by Jonah Hill, who goes undercover as a high school student in the action-comedy film "21 Jump Street."
  • B. Robert Sauer
    Robert Sauer was a German mathematician known for his contributions to geometry and for his academic leadership in the mid-20th century.
  • C. Norman Fruchter
    Norman Fruchter was an American writer, filmmaker, and education reform advocate known for his work on urban schooling and community-based education.
  • D. William Schmidt
    William Schmidt is a television producer and writer best known for his work as an executive producer on the HBO series "Carnivàle."
  • E. Murray Schisgal
    Murray Schisgal was an American playwright and screenwriter known for his offbeat comedies and for co-writing the acclaimed film "Tootsie."
  • 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_69d81c69b5c8819094aa1abf18302908 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de5fbbf0b08190ba1ea3657d6db005 completed April 14, 2026, 3:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe729a48288190bf24503af6522677 completed May 8, 2026, 11:32 p.m.
Created at: April 9, 2026, 10:22 p.m.