Triple

T14912977
Position Surface form Disambiguated ID Type / Status
Subject Noor Hassanali E371308 entity
Predicate familyName P18 FINISHED
Object Hassanali
Hassanali is a surname most notably associated with Noor Hassanali, the former President of Trinidad and Tobago.
 E1131454 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: Hassanali | Statement: [Noor Hassanali, familyName, Hassanali]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Hassanali
Context triple: [Noor Hassanali, familyName, Hassanali]
  • A. Hassan
    Hassan is a male given name of Arabic origin commonly used across the Muslim world and beyond.
  • B. Hassan
    Hassan is a city in the Indian state of Karnataka known as a regional hub and gateway to several important historical and religious sites.
  • C. Hassan
    Hassan is a hip-hop music producer known for contributing production work to Ghostface Killah’s acclaimed album "Supreme Clientele."
  • D. Hassan
    Hassan is a key antagonist in Lord Byron’s narrative poem "The Giaour," depicted as a powerful Ottoman leader whose actions drive the poem’s central conflict.
  • E. Hassan
    Hassan is a person known primarily as the sibling of Murad Mirza.
  • 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: Hassanali
Triple: [Noor Hassanali, familyName, Hassanali]
Generated description
Hassanali is a surname most notably associated with Noor Hassanali, the former President of Trinidad and Tobago.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Hassanali
Target entity description: Hassanali is a surname most notably associated with Noor Hassanali, the former President of Trinidad and Tobago.
  • A. Hassan
    Hassan is a male given name of Arabic origin commonly used across the Muslim world and beyond.
  • B. Hassan
    Hassan is a city in the Indian state of Karnataka known as a regional hub and gateway to several important historical and religious sites.
  • C. Hassan
    Hassan is a hip-hop music producer known for contributing production work to Ghostface Killah’s acclaimed album "Supreme Clientele."
  • D. Hassan
    Hassan is a key antagonist in Lord Byron’s narrative poem "The Giaour," depicted as a powerful Ottoman leader whose actions drive the poem’s central conflict.
  • E. Hassan
    Hassan is a person known primarily as the sibling of Murad Mirza.
  • 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_69d85cc7ea3481908228b5acb7d06f12 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69ded61d75008190b6f9a1a38137836f completed April 15, 2026, 12:04 a.m.
NED1 Entity disambiguation (via context triple) batch_69fe968a17188190bced83ed1006e020 completed May 9, 2026, 2:06 a.m.
NEDg Description generation batch_69fe9736977081909b959feafaabe354 completed May 9, 2026, 2:08 a.m.
NED2 Entity disambiguation (via description) batch_69fe97d10ff081909002f244d88bfb69 completed May 9, 2026, 2:11 a.m.
Created at: April 10, 2026, 2:27 a.m.