Triple

T18910112
Position Surface form Disambiguated ID Type / Status
Subject Aml Ameen E462579 entity
Predicate notableWork P4 FINISHED
Object Yardie
Yardie is a 2018 British crime drama film, directed by Idris Elba and based on Victor Headley’s novel, that follows a young Jamaican man navigating gang violence and revenge in London.
E1348595 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: Yardie | Statement: [Aml Ameen, notableWork, Yardie]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Yardie
Context triple: [Aml Ameen, notableWork, Yardie]
  • A. Ladhood
    Ladhood is a British coming-of-age comedy series that blends nostalgic flashbacks with present-day reflections on adolescence and masculinity.
  • B. MobbDeen
    MobbDeen is a music producer known for contributing to A$AP Rocky’s album "At. Long. Last. A$AP."
  • C. Blacc Hollywood
    Blacc Hollywood is a studio album by American rapper Wiz Khalifa that showcases his mainstream, party-oriented hip hop style.
  • D. Baddie
    "Baddie" is a popular Afropop song by Nigerian singer Yemi Alade, showcasing her energetic style and empowering lyrical themes.
  • E. Tha Mobb
    "Tha Mobb" is the hard-hitting, lyrically dense opening track by Lil Wayne from his acclaimed 2005 album *Tha Carter II*.
  • 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: Yardie
Triple: [Aml Ameen, notableWork, Yardie]
Generated description
Yardie is a 2018 British crime drama film, directed by Idris Elba and based on Victor Headley’s novel, that follows a young Jamaican man navigating gang violence and revenge in London.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Yardie
Target entity description: Yardie is a 2018 British crime drama film, directed by Idris Elba and based on Victor Headley’s novel, that follows a young Jamaican man navigating gang violence and revenge in London.
  • A. Ladhood
    Ladhood is a British coming-of-age comedy series that blends nostalgic flashbacks with present-day reflections on adolescence and masculinity.
  • B. MobbDeen
    MobbDeen is a music producer known for contributing to A$AP Rocky’s album "At. Long. Last. A$AP."
  • C. Blacc Hollywood
    Blacc Hollywood is a studio album by American rapper Wiz Khalifa that showcases his mainstream, party-oriented hip hop style.
  • D. Baddie
    "Baddie" is a popular Afropop song by Nigerian singer Yemi Alade, showcasing her energetic style and empowering lyrical themes.
  • E. Tha Mobb
    "Tha Mobb" is the hard-hitting, lyrically dense opening track by Lil Wayne from his acclaimed 2005 album *Tha Carter II*.
  • 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_69d8dcfd05bc819088903cca13cc2846 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5c62182f48190ad81b6ef0c7bc7da completed April 20, 2026, 6:22 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0582c3150481909b7ae928d080b31b completed May 14, 2026, 8:07 a.m.
NEDg Description generation batch_6a058928ca588190913af6dd08dbd460 completed May 14, 2026, 8:34 a.m.
NED2 Entity disambiguation (via description) batch_6a058981d5ac8190a3f7cdc2e00cfaf2 completed May 14, 2026, 8:36 a.m.
Created at: April 10, 2026, 11:58 a.m.