Triple

T22527333
Position Surface form Disambiguated ID Type / Status
Subject شكري سرحان E556940 entity
Predicate شارك_في P4470 FINISHED
Object فيلم الزوجة الثانية
فيلم الزوجة الثانية هو فيلم دراما اجتماعية مصري شهير من ستينيات القرن العشرين يتناول قضايا الفلاحين والسلطة والإقطاع في الريف المصري.
 E1542453 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: فيلم الزوجة الثانية | Statement: [شكري سرحان, شارك_في, فيلم الزوجة الثانية]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: فيلم الزوجة الثانية
Context triple: [شكري سرحان, شارك_في, فيلم الزوجة الثانية]
  • A. The Bride
    The Bride is a painting by American Romantic artist Washington Allston, reflecting his characteristic blend of dramatic emotion and atmospheric, poetic imagery.
  • B. The Bride
    The Bride is an ancient Greek comedy by the playwright Diphilus, likely centered on domestic and romantic themes typical of New Comedy.
  • C. The Bride
    The Bride is a pioneering Dada photomontage by German artist Hannah Höch that critiques traditional gender roles and representations of women.
  • D. The Bride
    The Bride is a narrative poem by Robert Louis Stevenson included in his collection "Valeria and Other Poems."
  • E. The Bride
    "The Bride" is a film project written by Scottish screenwriter Krysty Wilson-Cairns, known for her work on dark, character-driven genre stories.
  • 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: فيلم الزوجة الثانية
Triple: [شكري سرحان, شارك_في, فيلم الزوجة الثانية]
Generated description
فيلم الزوجة الثانية هو فيلم دراما اجتماعية مصري شهير من ستينيات القرن العشرين يتناول قضايا الفلاحين والسلطة والإقطاع في الريف المصري.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: فيلم الزوجة الثانية
Target entity description: فيلم الزوجة الثانية هو فيلم دراما اجتماعية مصري شهير من ستينيات القرن العشرين يتناول قضايا الفلاحين والسلطة والإقطاع في الريف المصري.
  • A. The Bride
    The Bride is a painting by American Romantic artist Washington Allston, reflecting his characteristic blend of dramatic emotion and atmospheric, poetic imagery.
  • B. The Bride
    The Bride is a narrative poem by Robert Louis Stevenson included in his collection "Valeria and Other Poems."
  • C. The Bride
    The Bride is an ancient Greek comedy by the playwright Diphilus, likely centered on domestic and romantic themes typical of New Comedy.
  • D. The Bride
    The Bride is a pioneering Dada photomontage by German artist Hannah Höch that critiques traditional gender roles and representations of women.
  • E. The Bride
    The Bride is a 1985 gothic horror film loosely inspired by Mary Shelley's "Frankenstein," starring Sting and Jennifer Beals.
  • 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.