Triple

T23321319
Position Surface form Disambiguated ID Type / Status
Subject Zeina E591157 entity
Predicate hasVariant P455 FINISHED
Object Zayna
Zayna is a feminine given name, often considered a variant of Zeina or Zaina, used in various cultures and typically associated with meanings like "beauty" or "grace."
E591157 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: Zayna | Statement: [Zeina, hasVariant, Zayna]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Zayna
Context triple: [Zeina, hasVariant, Zayna]
  • A. Zahra
    Zahra is the young sister in the acclaimed Iranian film "Children of Heaven," whose lost pair of shoes sets off the story’s central emotional journey.
  • B. Zahra
    Zahra is the given name of Princess Zahra Aga Khan, a prominent member of the Aga Khan family known for her work in international development and philanthropy.
  • C. Zohra
    Zohra is a character in Naguib Mahfouz’s novel "Miramar," which centers on the lives and conflicts of residents in a pension in Alexandria, Egypt.
  • D. Zainab
    Zainab is a feminine given name of Arabic origin commonly used in many Muslim-majority cultures.
  • E. Zeina
    Zeina is a feminine given name commonly used in Arabic-speaking and Middle Eastern cultures, often associated with beauty and grace.
  • 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: Zayna
Triple: [Zeina, hasVariant, Zayna]
Generated description
Zayna is a feminine given name, often considered a variant of Zeina or Zaina, used in various cultures and typically associated with meanings like "beauty" or "grace."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Zayna
Target entity description: Zayna is a feminine given name, often considered a variant of Zeina or Zaina, used in various cultures and typically associated with meanings like "beauty" or "grace."
  • A. Zahra
    Zahra is the given name of Princess Zahra Aga Khan, a prominent member of the Aga Khan family known for her work in international development and philanthropy.
  • B. Zahra
    Zahra is the young sister in the acclaimed Iranian film "Children of Heaven," whose lost pair of shoes sets off the story’s central emotional journey.
  • C. Zohra
    Zohra is a character in Naguib Mahfouz’s novel "Miramar," which centers on the lives and conflicts of residents in a pension in Alexandria, Egypt.
  • D. Zainab
    Zainab is a feminine given name of Arabic origin commonly used in many Muslim-majority cultures.
  • E. Zeina chosen
    Zeina is a feminine given name commonly used in Arabic-speaking and Middle Eastern cultures, often associated with beauty and grace.
  • 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_69e25d1effe4819096907f95f610dbff completed April 17, 2026, 4:17 p.m.
NER Named-entity recognition batch_69f19785ae5481908816b37da95ceb3e completed April 29, 2026, 5:30 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0c5dc451748190875e220e2ca971ca completed May 19, 2026, 12:55 p.m.
NEDg Description generation batch_6a0c5f90146c8190b5035747abcfdb6e completed May 19, 2026, 1:03 p.m.
NED2 Entity disambiguation (via description) batch_6a0c601b5d288190b5cf4f3e0c8cde15 completed May 19, 2026, 1:05 p.m.
Created at: April 17, 2026, 5:07 p.m.