Triple

T22842011
Position Surface form Disambiguated ID Type / Status
Subject Hamdy E566105 entity
Predicate relatedName P3889 FINISHED
Object Hamed NE NERFINISHED

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: [Hamdy, relatedName, Hamed]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hamed
Context triple: [Hamdy, relatedName, Hamed]
  • A. Hamed chosen
    Hamed is a masculine given name commonly used in Arabic-speaking and Muslim-majority cultures.
  • B. Hassan
    Hassan is a hip-hop music producer known for contributing production work to Ghostface Killah’s acclaimed album "Supreme Clientele."
  • C. 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.
  • D. Hassan
    Hassan is a person known primarily as the sibling of Murad Mirza.
  • E. 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."
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e245869e188190a196584f36e682da completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f17e855abc8190b9cf8cc515090a7f completed April 29, 2026, 3:44 a.m.
Created at: April 17, 2026, 3:35 p.m.