Triple

T10468678
Position Surface form Disambiguated ID Type / Status
Subject Sense8 E246868 entity
Predicate portrayedBy P1507 FINISHED
Object Aml Ameen E462579 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: Aml Ameen | Statement: [Sense8, portrayedBy, Aml Ameen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Aml Ameen
Context triple: [Sense8, portrayedBy, Aml Ameen]
  • A. Aml Ameen chosen
    Aml Ameen is a British actor known for roles in films like "Kidulthood" and "The Maze Runner" as well as television series such as "Sense8."
  • B. Salman Amin Khan
    Salman Amin Khan is an American educator and entrepreneur best known as the founder of Khan Academy, a nonprofit organization providing free online educational resources worldwide.
  • C. Alim Khan
    Alim Khan was a prominent early 19th-century khan of the Kokand Khanate in Central Asia, known for expanding its territory and consolidating its political power.
  • D. Nadeem Omar
    Nadeem Omar is a Pakistani businessman and cricket administrator best known for owning the Quetta Gladiators franchise in the Pakistan Super League.
  • E. Akhtar
    Akhtar is a masculine given name commonly used in South Asian and Muslim communities, derived from Persian and meaning "star" or "good fortune."
  • 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_69d381c16c248190a2fe5b471e584e9c completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d5092ef810819093a4d1df83aeac09 completed April 7, 2026, 1:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69d89ff1cd948190a1ef331fb810bf26 completed April 10, 2026, 7 a.m.
Created at: April 6, 2026, 12:20 p.m.