Triple

T4535778
Position Surface form Disambiguated ID Type / Status
Subject Hind bint Maktoum bin Juma Al Maktoum E107404 entity
Predicate givenName P17 FINISHED
Object Hind
Hind is a feminine given name of Arabic origin commonly used across the Arab world.
 E450291 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: Hind | Statement: [Hind bint Maktoum bin Juma Al Maktoum, givenName, Hind]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Hind
Context triple: [Hind bint Maktoum bin Juma Al Maktoum, givenName, Hind]
  • A. Hind
    Hind is the NATO reporting name for the Soviet-designed Mil Mi-24 attack and transport helicopter, renowned for its heavy armament and use in numerous Cold War and post-Cold War conflicts.
  • B. Harela
    Harela is a traditional Kumaoni festival in Uttarakhand that marks the onset of the monsoon and is celebrated with rituals centered on sowing and worshipping new crops and greenery.
  • C. Huni
    Huni was an ancient Egyptian pharaoh of the late Third Dynasty, regarded as one of the last rulers of the Old Kingdom’s early period.
  • D. Hanno
    Hanno is a city in Saitama Prefecture, Japan, known for its natural scenery, hiking spots, and proximity to the Tokyo metropolitan area.
  • E. Saru
    Saru is a Kelpien Starfleet officer in Star Trek: Discovery, known for his cautious nature, strong moral compass, and eventual rise to command.
  • 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: Hind
Triple: [Hind bint Maktoum bin Juma Al Maktoum, givenName, Hind]
Generated description
Hind is a feminine given name of Arabic origin commonly used across the Arab world.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Hind
Target entity description: Hind is a feminine given name of Arabic origin commonly used across the Arab world.
  • A. Hind
    Hind is the NATO reporting name for the Soviet-designed Mil Mi-24 attack and transport helicopter, renowned for its heavy armament and use in numerous Cold War and post-Cold War conflicts.
  • B. Harela
    Harela is a traditional Kumaoni festival in Uttarakhand that marks the onset of the monsoon and is celebrated with rituals centered on sowing and worshipping new crops and greenery.
  • C. Huni
    Huni was an ancient Egyptian pharaoh of the late Third Dynasty, regarded as one of the last rulers of the Old Kingdom’s early period.
  • D. Hanno
    Hanno is a city in Saitama Prefecture, Japan, known for its natural scenery, hiking spots, and proximity to the Tokyo metropolitan area.
  • E. Saru
    Saru is a Kelpien Starfleet officer in Star Trek: Discovery, known for his cautious nature, strong moral compass, and eventual rise to command.
  • 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_69bd43f922788190b7edfa294e39b178 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd57b634b08190845d04213cf8d5b9 completed March 20, 2026, 2:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69bdacf5858081909d38cad86d4014f2 completed March 20, 2026, 8:24 p.m.
NEDg Description generation batch_69bdad97c9e0819093849c81fb2a3d8c completed March 20, 2026, 8:27 p.m.
NED2 Entity disambiguation (via description) batch_69bdae2dd51081909a24017a4b983f70 completed March 20, 2026, 8:29 p.m.
Created at: March 20, 2026, 1:04 p.m.