Triple

T21102135
Position Surface form Disambiguated ID Type / Status
Subject Moses Pray E519931 entity
Predicate basedOn P98 FINISHED
Object Moses Pray (novel character) E519931 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 Pray (novel character) | Statement: [Moses Pray, basedOn, Moses Pray (novel character)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Moses Pray (novel character)
Context triple: [Moses Pray, basedOn, Moses Pray (novel character)]
  • A. Moses Pray chosen
    Moses Pray is a charmingly roguish Bible salesman and con man who becomes the reluctant guardian and partner-in-crime of a young girl in the film and novel "Paper Moon."
  • B. Moses the Black
    Moses the Black was a 4th-century Ethiopian desert monk and former bandit who became a renowned Christian ascetic and saint among the Desert Fathers.
  • C. Moses ǁGaroëb
    Moses ǁGaroëb was a prominent Namibian politician and anti-apartheid activist who played a key role in the country’s struggle for independence.
  • D. Moses Supposes
    "Moses Supposes" is a fast-paced comedic song-and-dance number from the classic musical film "Singin' in the Rain," known for its tongue-twisting lyrics and energetic choreography.
  • E. Moses Hightower
    Moses Hightower is a towering, soft-spoken police recruit known for his immense strength and gentle demeanor in the "Police Academy" film series.
  • 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_69e0b508d8dc81909be940dafe36c8f7 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e71b5ee8948190ac6e9e144d312c90 completed April 21, 2026, 6:38 a.m.
NED1 Entity disambiguation (via context triple) batch_6a095a64af448190b307dff9d4a87baf completed May 17, 2026, 6:04 a.m.
Created at: April 16, 2026, 2:53 p.m.