Triple

T4701885
Position Surface form Disambiguated ID Type / Status
Subject Hamdan bin Rashid Al Maktoum E104292 entity
Predicate givenName P17 FINISHED
Object Hamdan
Hamdan is a common Arabic male given name, notably borne by several members of the ruling Al Maktoum family of Dubai.
E149448 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: Hamdan | Statement: [Hamdan bin Rashid Al Maktoum, givenName, Hamdan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hamdan
Context triple: [Hamdan bin Rashid Al Maktoum, givenName, Hamdan]
  • A. Hassan
    Hassan is a person known primarily as the sibling of Murad Mirza.
  • 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 loyal and selfless Hazara boy whose friendship with Amir and the injustices he endures form the emotional core of the film "The Kite Runner."
  • D. Hamed
    Hamed is a masculine given name commonly used in Arabic-speaking and Muslim-majority cultures.
  • E. Mahmoud
    Mahmoud is a common Arabic male given name widely used across the Middle East and Muslim-majority countries.
  • 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: Hamdan
Triple: [Hamdan bin Rashid Al Maktoum, givenName, Hamdan]
Generated description
Hamdan is a common Arabic male given name, notably borne by several members of the ruling Al Maktoum family of Dubai.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Hamdan
Target entity description: Hamdan is a common Arabic male given name, notably borne by several members of the ruling Al Maktoum family of Dubai.
  • A. Hassan
    Hassan is a person known primarily as the sibling of Murad Mirza.
  • 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 loyal and selfless Hazara boy whose friendship with Amir and the injustices he endures form the emotional core of the film "The Kite Runner."
  • D. Hamed chosen
    Hamed is a masculine given name commonly used in Arabic-speaking and Muslim-majority cultures.
  • E. Mahmoud
    Mahmoud is a common Arabic male given name widely used across the Middle East and Muslim-majority countries.
  • F. None of above.

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_69bd43e9b88481908582103dcadff3d9 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd63cec7988190b5f1d04d4f95314a completed March 20, 2026, 3:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69be03cd8cd4819081a7988b5945067f completed March 21, 2026, 2:34 a.m.
NEDg Description generation batch_69be04c5549c819087204ac7e2e0e8ea completed March 21, 2026, 2:39 a.m.
NED2 Entity disambiguation (via description) batch_69be05970dcc8190a86771d09f27d9f2 completed March 21, 2026, 2:42 a.m.
Created at: March 20, 2026, 1:17 p.m.