Triple

T15103880
Position Surface form Disambiguated ID Type / Status
Subject Police Academy 3: Back in Training E360736 entity
Predicate mainCharacter P1183 FINISHED
Object Moses Hightower E1096657 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: Moses Hightower | Statement: [Police Academy 3: Back in Training, mainCharacter, Moses Hightower]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Moses Hightower
Context triple: [Police Academy 3: Back in Training, mainCharacter, 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 Maverick
    Moses Maverick was a 17th-century colonial settler and civic leader in Massachusetts, known as one of the early prominent inhabitants of Marblehead.
  • C. Moses Martin
    Moses Martin is the son of actress Gwyneth Paltrow and Coldplay frontman Chris Martin.
  • D. Eugene Sawyer
    Eugene Sawyer was an American politician who briefly served as mayor of Chicago in the late 1980s following the death of Harold Washington.
  • E. Eleazer Root
    Eleazer Root was an American educator and politician who played a foundational role in organizing Wisconsin’s public school system in the mid-19th century.
  • 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_69d85a0491ec8190830960be8fafb994 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e00551521c8190b48d1a074bb4bdfc completed April 15, 2026, 9:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69feae274f6881908931569efc09996e completed May 9, 2026, 3:46 a.m.
Created at: April 10, 2026, 3:05 a.m.