Triple

T6806474
Position Surface form Disambiguated ID Type / Status
Subject Naseem Hamed E156319 entity
Predicate givenName P17 FINISHED
Object Naseem
Naseem is the given name of Naseem Hamed, the British former professional boxer famed for his flamboyant style and knockout power.
 E619582 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: Naseem | Statement: [Naseem Hamed, givenName, Naseem]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Naseem
Context triple: [Naseem Hamed, givenName, Naseem]
  • A. Shabana
    Shabana is a prominent Bangladeshi film actress renowned for her extensive and influential career in Bengali cinema.
  • B. Nubeena
    Nubeena is a small coastal town on Tasmania’s Tasman Peninsula known as a local service and tourism hub for the surrounding rural and scenic areas.
  • C. Salma
    Salma is a feminine given name of Arabic origin, commonly used in various cultures around the world.
  • D. Rukhsana
    Rukhsana is a feminine given name, commonly used in South Asian and Muslim cultures, that is a variant of the name Roxana.
  • E. Najwa
    Najwa is a Spanish actress and singer best known for her roles in series like "Money Heist" and her work in the electronic music duo Najwajean.
  • 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: Naseem
Triple: [Naseem Hamed, givenName, Naseem]
Generated description
Naseem is the given name of Naseem Hamed, the British former professional boxer famed for his flamboyant style and knockout power.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Naseem
Target entity description: Naseem is the given name of Naseem Hamed, the British former professional boxer famed for his flamboyant style and knockout power.
  • A. Shabana
    Shabana is a prominent Bangladeshi film actress renowned for her extensive and influential career in Bengali cinema.
  • B. Nubeena
    Nubeena is a small coastal town on Tasmania’s Tasman Peninsula known as a local service and tourism hub for the surrounding rural and scenic areas.
  • C. Salma
    Salma is a feminine given name of Arabic origin, commonly used in various cultures around the world.
  • D. Rukhsana
    Rukhsana is a feminine given name, commonly used in South Asian and Muslim cultures, that is a variant of the name Roxana.
  • E. Najwa
    Najwa is a Spanish actress and singer best known for her roles in series like "Money Heist" and her work in the electronic music duo Najwajean.
  • 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_69c68826e6a48190a3d220b541e639de completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d30a006081908996e31aa7ced0ac completed March 27, 2026, 6:57 p.m.
NED1 Entity disambiguation (via context triple) batch_69c71aa27cec81909f45911ffa44ea6f completed March 28, 2026, 12:02 a.m.
NEDg Description generation batch_69c71bb4dcf08190b3b333f6a282bd8a completed March 28, 2026, 12:07 a.m.
NED2 Entity disambiguation (via description) batch_69c71c4133908190a2b0a79475101666 completed March 28, 2026, 12:09 a.m.
Created at: March 27, 2026, 2:16 p.m.