Triple

T23477210
Position Surface form Disambiguated ID Type / Status
Subject Police Academy E570294 entity
Predicate notableCharacter P1481 FINISHED
Object Moses Hightower NE NERFINISHED

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: Moses Hightower | Statement: [Police Academy, notableCharacter, Moses Hightower]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Moses Hightower
Context triple: [Police Academy, notableCharacter, Moses Hightower]
  • A. Moses Hightower chosen
    Moses Hightower is a towering, soft-spoken police recruit known for his immense strength and gentle demeanor in the "Police Academy" film series.
  • B. Moses Winters
    Moses Winters is a member of the Winters family, a fictional family featured in various narrative works.
  • C. Amos Garrett
    Amos Garrett is a Canadian guitarist and singer best known for his distinctive, jazz-influenced blues and roots playing, including his iconic solo on Maria Muldaur’s “Midnight at the Oasis.”
  • D. Moses Jones
    Moses Jones is a British television crime drama miniseries featuring Shaun Parkes in a leading role.
  • E. Moses Greener
    Moses Greener is the son of American broadcast journalist and talk show host Tamron Hall.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e245af8a88819084f2704f6d265a92 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f1a74dbea8819085ca84391039e7f7 completed April 29, 2026, 6:38 a.m.
Created at: April 17, 2026, 6:01 p.m.