Triple

T21705925
Position Surface form Disambiguated ID Type / Status
Subject The Sparrow E535771 entity
Predicate hasCastMember P2308 FINISHED
Object Mohsena Tawfik
Mohsena Tawfik is an Egyptian actress known for her roles in classic Arabic cinema and television.
E1498090 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: Mohsena Tawfik | Statement: [The Sparrow, hasCastMember, Mohsena Tawfik]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mohsena Tawfik
Context triple: [The Sparrow, hasCastMember, Mohsena Tawfik]
  • A. Zeinab Saad el-Shazly
    Zeinab Saad el-Shazly was the wife of prominent Egyptian military commander and former Chief of Staff Saad el-Shazly.
  • B. Saray El-Qobba
    Saray El-Qobba is a metro station in Cairo, Egypt, located in the Heliopolis area and integrated into the city's primary urban rail network.
  • C. Sherine Khalil
    Sherine Khalil is a person whose given name is associated with the entity Athena.
  • D. Fathiya al-Najjar
    Fathiya al-Najjar is known as the wife of the late Hamas co-founder and leader Abdel Aziz al-Rantisi.
  • E. Khalida Jarrar
    Khalida Jarrar is a prominent Palestinian politician, feminist, and human rights advocate known for her leadership in the Popular Front for the Liberation of Palestine and her work on prisoners’ rights.
  • 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: Mohsena Tawfik
Triple: [The Sparrow, hasCastMember, Mohsena Tawfik]
Generated description
Mohsena Tawfik is an Egyptian actress known for her roles in classic Arabic cinema and television.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Mohsena Tawfik
Target entity description: Mohsena Tawfik is an Egyptian actress known for her roles in classic Arabic cinema and television.
  • A. Zeinab Saad el-Shazly
    Zeinab Saad el-Shazly was the wife of prominent Egyptian military commander and former Chief of Staff Saad el-Shazly.
  • B. Saray El-Qobba
    Saray El-Qobba is a metro station in Cairo, Egypt, located in the Heliopolis area and integrated into the city's primary urban rail network.
  • C. Sherine Khalil
    Sherine Khalil is a person whose given name is associated with the entity Athena.
  • D. Fathiya al-Najjar
    Fathiya al-Najjar is known as the wife of the late Hamas co-founder and leader Abdel Aziz al-Rantisi.
  • E. Khalida Jarrar
    Khalida Jarrar is a prominent Palestinian politician, feminist, and human rights advocate known for her leadership in the Popular Front for the Liberation of Palestine and her work on prisoners’ rights.
  • 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_69e0c46b44c0819088ab883ebd44e0e8 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69efb52f64c48190b5d59561999e922f completed April 27, 2026, 7:12 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0a24ab2c6481908a8f30e763b667fe completed May 17, 2026, 8:27 p.m.
NEDg Description generation batch_6a0a2576bd5c8190a8a81a8462040b6a completed May 17, 2026, 8:30 p.m.
NED2 Entity disambiguation (via description) batch_6a0a264ca5a88190b8a84c05a2cfb181 completed May 17, 2026, 8:34 p.m.
Created at: April 16, 2026, 6:46 p.m.