Triple

T6806475
Position Surface form Disambiguated ID Type / Status
Subject Naseem Hamed E156319 entity
Predicate familyName P18 FINISHED
Object Hamed E149448 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: Hamed | Statement: [Naseem Hamed, familyName, Hamed]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hamed
Context triple: [Naseem Hamed, familyName, Hamed]
  • A. Hamed chosen
    Hamed is a masculine given name commonly used in Arabic-speaking and Muslim-majority cultures.
  • B. 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.
  • C. Hassan
    Hassan is a person known primarily as the sibling of Murad Mirza.
  • D. Hassan
    Hassan is a loyal and selfless Hazara boy whose friendship with Amir and the injustices he endures form the emotional core of the film "The Kite Runner."
  • E. Hamid
    Hamid is a common Arabic-origin surname used by various notable individuals across the Muslim world and diaspora.
  • 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_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_69c7425a26d88190ab1e3de2e5596108 completed March 28, 2026, 2:52 a.m.
Created at: March 27, 2026, 2:16 p.m.