Triple

T16785145
Position Surface form Disambiguated ID Type / Status
Subject My Brother the Devil E407951 entity
Predicate mainCharacter P1183 FINISHED
Object Mo
Mo is a British-Arab teenager in the film "My Brother the Devil," whose coming-of-age journey explores identity, family loyalty, and the pull between gang life and a different future.
 E1233502 NE FINISHED

How this triple was built (4 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: Mo | Statement: [My Brother the Devil, mainCharacter, Mo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Mo
Context triple: [My Brother the Devil, mainCharacter, Mo]
  • A. Mo
    Mo is a common shortened form of the given name Maureen.
  • B. MO
    MO is the U.S. Postal Service abbreviation for the state of Missouri.
  • C. MO
    MO is the two-letter ISO 3166 country code assigned to the Macao Special Administrative Region of China.
  • D. MO
    MO is the common abbreviation for Milicja Obywatelska, the state police force that operated in communist Poland from 1944 to 1990.
  • E. Mar
    Mar is an honorific ecclesiastical title used for bishops and saints in several Eastern Christian traditions, particularly within Syriac Christianity.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Mo
Triple: [My Brother the Devil, mainCharacter, Mo]
Generated description
Mo is a British-Arab teenager in the film "My Brother the Devil," whose coming-of-age journey explores identity, family loyalty, and the pull between gang life and a different future.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Mo
Target entity description: Mo is a British-Arab teenager in the film "My Brother the Devil," whose coming-of-age journey explores identity, family loyalty, and the pull between gang life and a different future.
  • A. Mo
    Mo is a common shortened form of the given name Maureen.
  • B. MO
    MO is the two-letter ISO 3166 country code assigned to the Macao Special Administrative Region of China.
  • C. MO
    MO is the U.S. Postal Service abbreviation for the state of Missouri.
  • D. MO
    MO is the common abbreviation for Milicja Obywatelska, the state police force that operated in communist Poland from 1944 to 1990.
  • E. Mar
    Mar is an honorific ecclesiastical title used for bishops and saints in several Eastern Christian traditions, particularly within Syriac Christianity.
  • F. None of above. chosen

Provenance (5 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_69d8839270588190886720d9519bbf8f completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e3b21996cc81909deb88545af7079f completed April 18, 2026, 4:32 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00ab07bdcc819086479178e5b8b679 completed May 10, 2026, 3:57 p.m.
NEDg Description generation batch_6a00ac1d18c08190969108e567d6eced completed May 10, 2026, 4:02 p.m.
NED2 Entity disambiguation (via description) batch_6a00acc3a9dc819087e07e539760bf34 completed May 10, 2026, 4:05 p.m.
Created at: April 10, 2026, 5:22 a.m.