Triple

T14244555
Position Surface form Disambiguated ID Type / Status
Subject Noora bint Hathal Al Dosari E353097 entity
Predicate givenName P17 FINISHED
Object Noora
Noora is a feminine given name commonly used in Arabic-speaking and other Muslim-majority cultures, often interpreted to mean "light" or "illumination."
E1087336 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: Noora | Statement: [Noora bint Hathal Al Dosari, givenName, Noora]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Noora
Context triple: [Noora bint Hathal Al Dosari, givenName, Noora]
  • A. Noa
    Noa is a Hebrew given name commonly used for women in Israel, distinct from the biblical male name Noah.
  • B. Eema
    Eema is a wise, elderly Styracosaurus who serves as a gruff but good-hearted mentor figure in Disney's 2000 animated film "Dinosaur."
  • C. Nayirah
    Nayirah is a vocalist known for her guest appearance on Lupe Fiasco’s album "Drill Music in Zion."
  • D. Nahila
    Nahila is a character from the novel "Gate of the Sun," which portrays the Palestinian experience through interwoven personal and historical narratives.
  • E. Alona
    Alona is a feminine given name, notably borne by Israeli-American actress and singer Alona Tal.
  • 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: Noora
Triple: [Noora bint Hathal Al Dosari, givenName, Noora]
Generated description
Noora is a feminine given name commonly used in Arabic-speaking and other Muslim-majority cultures, often interpreted to mean "light" or "illumination."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Noora
Target entity description: Noora is a feminine given name commonly used in Arabic-speaking and other Muslim-majority cultures, often interpreted to mean "light" or "illumination."
  • A. Noa
    Noa is a Hebrew given name commonly used for women in Israel, distinct from the biblical male name Noah.
  • B. Eema
    Eema is a wise, elderly Styracosaurus who serves as a gruff but good-hearted mentor figure in Disney's 2000 animated film "Dinosaur."
  • C. Nayirah
    Nayirah is a vocalist known for her guest appearance on Lupe Fiasco’s album "Drill Music in Zion."
  • D. Nahila
    Nahila is a character from the novel "Gate of the Sun," which portrays the Palestinian experience through interwoven personal and historical narratives.
  • E. Alona
    Alona is a feminine given name, notably borne by Israeli-American actress and singer Alona Tal.
  • 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_69d8278adc7c8190a9218d69bce3c4e6 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de6245d6a481909ef665748cd4d64c completed April 14, 2026, 3:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd282571ec819080d187ecec3ed925 completed May 8, 2026, 12:02 a.m.
NEDg Description generation batch_69fd2a9da52481909f580eb0df3e1922 completed May 8, 2026, 12:13 a.m.
NED2 Entity disambiguation (via description) batch_69fd2b270c9c8190a573e53ca9af4e4b completed May 8, 2026, 12:15 a.m.
Created at: April 10, 2026, 1:08 a.m.