Triple

T21110977
Position Surface form Disambiguated ID Type / Status
Subject Garm Hava E520168 entity
Predicate character P662 FINISHED
Object Amina
Amina is a central female character in the 1973 Indian film "Garm Hava," representing the emotional and social struggles of a Muslim family during the Partition of India.
 E854859 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: Amina | Statement: [Garm Hava, character, Amina]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Amina
Context triple: [Garm Hava, character, Amina]
  • A. Amina
    Amina is the gentle, devout, and sheltered matriarch at the heart of Naguib Mahfouz’s novel "Palace Walk," embodying traditional family values in early 20th-century Cairo.
  • B. Amina
    Amina is a feminine given name used in various cultures, often associated with meanings like "trustworthy" or "faithful" and known as the name of the Prophet Muhammad’s mother in Islamic tradition.
  • C. Asmaa
    Asmaa is a feminine given name of Arabic origin commonly used in many Muslim-majority countries.
  • D. 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.
  • E. Aisha
    Aisha is a singer who performed one of the official songs for the 2022 FIFA World Cup.
  • 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: Amina
Triple: [Garm Hava, character, Amina]
Generated description
Amina is a central female character in the 1973 Indian film "Garm Hava," representing the emotional and social struggles of a Muslim family during the Partition of India.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Amina
Target entity description: Amina is a central female character in the 1973 Indian film "Garm Hava," representing the emotional and social struggles of a Muslim family during the Partition of India.
  • A. Amina
    Amina is the gentle, devout, and sheltered matriarch at the heart of Naguib Mahfouz’s novel "Palace Walk," embodying traditional family values in early 20th-century Cairo.
  • B. Amina chosen
    Amina is a feminine given name used in various cultures, often associated with meanings like "trustworthy" or "faithful" and known as the name of the Prophet Muhammad’s mother in Islamic tradition.
  • C. Asmaa
    Asmaa is a feminine given name of Arabic origin commonly used in many Muslim-majority countries.
  • D. 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.
  • E. Aisha
    Aisha is a singer who performed one of the official songs for the 2022 FIFA World Cup.
  • 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_69e0b509a318819092fbbcb21d1fe603 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e72101f7308190beb202a052ff04d2 completed April 21, 2026, 7:02 a.m.
NED1 Entity disambiguation (via context triple) batch_6a097eb949588190ad325357a3df9251 completed May 17, 2026, 8:39 a.m.
NEDg Description generation batch_6a097f7635f08190bf9552d4aa05063e completed May 17, 2026, 8:42 a.m.
NED2 Entity disambiguation (via description) batch_6a098037ffa4819095b1482d6bd83583 completed May 17, 2026, 8:45 a.m.
Created at: April 16, 2026, 2:54 p.m.