Triple

T4516792
Position Surface form Disambiguated ID Type / Status
Subject Fatima Meer E102171 entity
Predicate givenName P17 FINISHED
Object Fatima
Fatima is a feminine given name of Arabic origin widely used in Muslim communities and beyond.
 E174308 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: Fatima | Statement: [Fatima Meer, givenName, Fatima]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Fatima
Context triple: [Fatima Meer, givenName, Fatima]
  • A. Fatima
    Fatima is a desert woman in Paulo Coelho’s novel "The Alchemist," symbolizing true love and spiritual devotion that supports the protagonist’s quest.
  • B. Aisha
    Aisha is a central female protagonist in Naguib Mahfouz’s novel "Palace Walk," representing the complexities of family life and social change in early 20th-century Cairo.
  • C. Aisha
    Aisha is a singer who performed one of the official songs for the 2022 FIFA World Cup.
  • D. Aisha
    Aisha is a central female character in Naguib Mahfouz’s novel "Palace of Desire," whose relationships and personal struggles reflect the broader social and emotional tensions of early 20th-century Cairo.
  • E. Aisha
    Aisha is a prominent early Islamic figure known as a wife of the Prophet Muhammad and a significant transmitter of hadith.
  • 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: Fatima
Triple: [Fatima Meer, givenName, Fatima]
Generated description
Fatima is a feminine given name of Arabic origin widely used in Muslim communities and beyond.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Fatima
Target entity description: Fatima is a feminine given name of Arabic origin widely used in Muslim communities and beyond.
  • A. Fatima chosen
    Fatima is a desert woman in Paulo Coelho’s novel "The Alchemist," symbolizing true love and spiritual devotion that supports the protagonist’s quest.
  • B. Aisha
    Aisha is a central female character in Naguib Mahfouz’s novel "Palace of Desire," whose relationships and personal struggles reflect the broader social and emotional tensions of early 20th-century Cairo.
  • C. Aisha
    Aisha is a central female protagonist in Naguib Mahfouz’s novel "Palace Walk," representing the complexities of family life and social change in early 20th-century Cairo.
  • D. Aisha
    Aisha is a singer who performed one of the official songs for the 2022 FIFA World Cup.
  • E. Aisha
    Aisha is a prominent early Islamic figure known as a wife of the Prophet Muhammad and a significant transmitter of hadith.
  • 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_69bd43d6251c81909deecce3e6e9d69c completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd5726983c8190bca116eeee54241c completed March 20, 2026, 2:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69bda42bd41c8190a9a25ccea6947089 completed March 20, 2026, 7:46 p.m.
NEDg Description generation batch_69bda4b7b8bc8190a9ccded70e1b9cc2 completed March 20, 2026, 7:49 p.m.
NED2 Entity disambiguation (via description) batch_69bda51353188190a951f5d6714481e8 completed March 20, 2026, 7:50 p.m.
Created at: March 20, 2026, 1:02 p.m.