Triple

T19585835
Position Surface form Disambiguated ID Type / Status
Subject Princess Firyal of Jordan E490102 entity
Predicate givenName P17 FINISHED
Object Firyal
Firyal is a Jordanian princess and philanthropist known for her humanitarian work and involvement in international cultural and charitable organizations.
E1385187 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: Firyal | Statement: [Princess Firyal of Jordan, givenName, Firyal]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Firyal
Context triple: [Princess Firyal of Jordan, givenName, Firyal]
  • A. Fiura
    Fiura is a malevolent female spirit from Chilote mythology, known for her grotesque appearance and for causing illness, misfortune, and enchantments to those who encounter her.
  • B. Firiplaka
    Firiplaka is a scenic, volcanic-sand beach on the Greek island of Milos, known for its colorful cliffs and clear turquoise waters.
  • C. Freisa
    Freisa is a red Italian wine grape variety from the Piedmont region, known for producing tannic, often slightly sparkling wines with vibrant acidity and red berry aromas.
  • D. Ferike
    Ferike is a Hungarian given name, often used as a diminutive form of names like Ferenc or Frederika.
  • E. Safira
    Safira is a feminine given name, often associated with the word "sapphire" and used in various cultures.
  • 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: Firyal
Triple: [Princess Firyal of Jordan, givenName, Firyal]
Generated description
Firyal is a Jordanian princess and philanthropist known for her humanitarian work and involvement in international cultural and charitable organizations.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Firyal
Target entity description: Firyal is a Jordanian princess and philanthropist known for her humanitarian work and involvement in international cultural and charitable organizations.
  • A. Fiura
    Fiura is a malevolent female spirit from Chilote mythology, known for her grotesque appearance and for causing illness, misfortune, and enchantments to those who encounter her.
  • B. Firiplaka
    Firiplaka is a scenic, volcanic-sand beach on the Greek island of Milos, known for its colorful cliffs and clear turquoise waters.
  • C. Freisa
    Freisa is a red Italian wine grape variety from the Piedmont region, known for producing tannic, often slightly sparkling wines with vibrant acidity and red berry aromas.
  • D. Ferike
    Ferike is a Hungarian given name, often used as a diminutive form of names like Ferenc or Frederika.
  • E. Safira
    Safira is a feminine given name, often associated with the word "sapphire" and used in various cultures.
  • 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_69d8e8dd9374819098e36349b3211663 completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e640513134819082cf233fa3dcc911 completed April 20, 2026, 3:03 p.m.
NED1 Entity disambiguation (via context triple) batch_6a075f1122a08190961b2c0ae2e9f900 completed May 15, 2026, 5:59 p.m.
NEDg Description generation batch_6a075fed0ac4819088569b4854cf1ab9 completed May 15, 2026, 6:03 p.m.
NED2 Entity disambiguation (via description) batch_6a076070784c81908d28306344363c53 completed May 15, 2026, 6:05 p.m.
Created at: April 10, 2026, 1:42 p.m.