Triple

T18910103
Position Surface form Disambiguated ID Type / Status
Subject Aml Ameen E462579 entity
Predicate givenName P17 FINISHED
Object Aml
Aml Ameen is a British actor and filmmaker known for his roles in projects such as "Kidulthood," "The Maze Runner," and the television series "Sense8."
E1348594 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: Aml | Statement: [Aml Ameen, givenName, Aml]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Aml
Context triple: [Aml Ameen, givenName, Aml]
  • A. Amm
    Amm is an ancient South Arabian god, particularly revered in the Qataban kingdom as a principal deity associated with protection and tribal identity.
  • B. Amlash
    Amlash is a city in northern Iran known for its location in the lush, Caspian coastal region of Gilan Province.
  • C. Amlux
    Amlux is a 2002 experimental noise album by Japanese artist Merzbow, known for its dense, immersive soundscapes and prominent place in his extensive discography.
  • D. Alm
    Alm is a surname most notably borne by Steven S. Alm, an American attorney and judge who has served as the Prosecuting Attorney of Honolulu.
  • E. Allam
    Allam is a surname of Arabic origin borne by various notable individuals across fields such as acting, politics, and academia.
  • 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: Aml
Triple: [Aml Ameen, givenName, Aml]
Generated description
Aml Ameen is a British actor and filmmaker known for his roles in projects such as "Kidulthood," "The Maze Runner," and the television series "Sense8."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Aml
Target entity description: Aml Ameen is a British actor and filmmaker known for his roles in projects such as "Kidulthood," "The Maze Runner," and the television series "Sense8."
  • A. Amm
    Amm is an ancient South Arabian god, particularly revered in the Qataban kingdom as a principal deity associated with protection and tribal identity.
  • B. Amlash
    Amlash is a city in northern Iran known for its location in the lush, Caspian coastal region of Gilan Province.
  • C. Amlux
    Amlux is a 2002 experimental noise album by Japanese artist Merzbow, known for its dense, immersive soundscapes and prominent place in his extensive discography.
  • D. Alm
    Alm is a surname most notably borne by Steven S. Alm, an American attorney and judge who has served as the Prosecuting Attorney of Honolulu.
  • E. Allam
    Allam is a surname of Arabic origin borne by various notable individuals across fields such as acting, politics, and academia.
  • 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.