Triple

T11824708
Position Surface form Disambiguated ID Type / Status
Subject Tom Brown's Schooldays E281228 entity
Predicate mainCharacter P1183 FINISHED
Object Tom Brown E852682 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: Tom Brown | Statement: [Tom Brown's Schooldays, mainCharacter, Tom Brown]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tom Brown
Context triple: [Tom Brown's Schooldays, mainCharacter, Tom Brown]
  • A. Tom Brown
    Tom Brown is a fictional character appearing in the 1930 American film "Morocco," which stars Marlene Dietrich and Gary Cooper.
  • B. Tom Brown chosen
    Tom Brown was an American child and later character actor known for his roles in early 20th-century films and radio, including appearances in classic comedies and dramas.
  • C. Hobart Brown
    Hobart Brown was an American artist and sculptor best known as the eccentric founder of the human-powered art race tradition that became the Kinetic Grand Championship.
  • D. Mr. Brown
    Mr. Brown is one of the color-coded hijackers in the crime thriller "The Taking of Pelham One Two Three," known for his role in the subway train hostage plot.
  • E. Mr. Brown
    Mr. Brown is a comically eccentric, churchgoing older man known for his loud outfits, over-the-top reactions, and frequent appearances in Tyler Perry’s Madea franchise.
  • 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_69d6ab276f8c8190b1966a0ef11349ac completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d8a5eb299481909de3c0e85628fbe4 completed April 10, 2026, 7:25 a.m.
NED1 Entity disambiguation (via context triple) batch_69f132062b108190ad33656c386ee603 completed April 28, 2026, 10:17 p.m.
Created at: April 8, 2026, 9:43 p.m.