Triple

T22527139
Position Surface form Disambiguated ID Type / Status
Subject الخيط الرفيع E556936 entity
Predicate بطولة P148739 FINISHED
Object نادية رشاد
نادية رشاد هي ممثلة مصرية معروفة بأدوارها في الدراما التلفزيونية والسينما منذ سبعينيات القرن العشرين.
E1542436 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: نادية رشاد | Statement: [الخيط الرفيع, بطولة, نادية رشاد]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: نادية رشاد
Context triple: [الخيط الرفيع, بطولة, نادية رشاد]
  • A. Shereen Reda
    Shereen Reda is an Egyptian actress and public figure known for her roles in film and television as well as her high-profile presence in Arab media.
  • B. Hani Nassar
    Hani Nassar is an individual notable enough to be specifically cited as a bearer of the surname Nassar.
  • C. Alicia Shakour
    Alicia Shakour is a musician best known for her role as a member of the Grateful Dead–related group the Heart of Gold Band.
  • D. Maysa Hassan
    Maysa Hassan is a fictional character portrayed by Palestinian actress and director Hiam Abbass.
  • E. Nadia Lotfy
    Nadia Lotfy was a prominent Egyptian film actress, best known for her roles in classic Egyptian cinema of the 1950s and 1960s.
  • 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: نادية رشاد
Triple: [الخيط الرفيع, بطولة, نادية رشاد]
Generated description
نادية رشاد هي ممثلة مصرية معروفة بأدوارها في الدراما التلفزيونية والسينما منذ سبعينيات القرن العشرين.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: نادية رشاد
Target entity description: نادية رشاد هي ممثلة مصرية معروفة بأدوارها في الدراما التلفزيونية والسينما منذ سبعينيات القرن العشرين.
  • A. Shereen Reda
    Shereen Reda is an Egyptian actress and public figure known for her roles in film and television as well as her high-profile presence in Arab media.
  • B. Hani Nassar
    Hani Nassar is an individual notable enough to be specifically cited as a bearer of the surname Nassar.
  • C. Alicia Shakour
    Alicia Shakour is a musician best known for her role as a member of the Grateful Dead–related group the Heart of Gold Band.
  • D. Maysa Hassan
    Maysa Hassan is a fictional character portrayed by Palestinian actress and director Hiam Abbass.
  • E. Nadia Lotfy
    Nadia Lotfy was a prominent Egyptian film actress, best known for her roles in classic Egyptian cinema of the 1950s and 1960s.
  • 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_69e11e57483c8190b0887c4f8ff26446 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15ed411488190a51320930b9805c2 completed April 29, 2026, 1:28 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0b1dd894048190a50e4b3d24d26905 completed May 18, 2026, 2:10 p.m.
NEDg Description generation batch_6a0b2560f8b08190aaba573e06d38d55 completed May 18, 2026, 2:42 p.m.
NED2 Entity disambiguation (via description) batch_6a0b2729328481908faf3f88acfc9de1 completed May 18, 2026, 2:50 p.m.
Created at: April 16, 2026, 8:51 p.m.