Triple

T1251114
Position Surface form Disambiguated ID Type / Status
Subject Miramar E26875 entity
Predicate originalTitle P65 FINISHED
Object ميرامار
"ميرامار" هي رواية عربية شهيرة لنجيب محفوظ تدور أحداثها في بنسيون بالإسكندرية وتستعرض تحولات المجتمع المصري في ستينيات القرن العشرين من خلال وجهات نظر متعددة.
 E150000 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: ميرامار | Statement: [Miramar, originalTitle, ميرامار]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: ميرامار
Context triple: [Miramar, originalTitle, ميرامار]
  • A. Guillermo
    Guillermo is the Spanish form of the given name William, commonly used in Spanish-speaking countries.
  • B. Manuel
    Manuel is the given name of Manny Ramirez, the former Major League Baseball star known for his powerful hitting and tenure with the Boston Red Sox.
  • C. Roderic
    Roderic is a masculine given name of Germanic origin, often associated with historical and literary figures.
  • D. Bonifacio
    Bonifacio is a historic fortified town perched on dramatic limestone cliffs at the southern tip of Corsica, overlooking the Strait of Bonifacio between the island and Sardinia.
  • E. Eduardo
    Eduardo is a masculine given name commonly used in Spanish and Portuguese-speaking countries, equivalent to the English name Edward.
  • 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: ميرامار
Triple: [Miramar, originalTitle, ميرامار]
Generated description
"ميرامار" هي رواية عربية شهيرة لنجيب محفوظ تدور أحداثها في بنسيون بالإسكندرية وتستعرض تحولات المجتمع المصري في ستينيات القرن العشرين من خلال وجهات نظر متعددة.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: ميرامار
Target entity description: "ميرامار" هي رواية عربية شهيرة لنجيب محفوظ تدور أحداثها في بنسيون بالإسكندرية وتستعرض تحولات المجتمع المصري في ستينيات القرن العشرين من خلال وجهات نظر متعددة.
  • A. Guillermo
    Guillermo is the Spanish form of the given name William, commonly used in Spanish-speaking countries.
  • B. Manuel
    Manuel is the given name of Manny Ramirez, the former Major League Baseball star known for his powerful hitting and tenure with the Boston Red Sox.
  • C. Roderic
    Roderic is a masculine given name of Germanic origin, often associated with historical and literary figures.
  • D. Bonifacio
    Bonifacio is a historic fortified town perched on dramatic limestone cliffs at the southern tip of Corsica, overlooking the Strait of Bonifacio between the island and Sardinia.
  • E. Eduardo
    Eduardo is a masculine given name commonly used in Spanish and Portuguese-speaking countries, equivalent to the English name Edward.
  • 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_69a49487a9c48190ba9b05348fd1b53f completed March 1, 2026, 7:33 p.m.
NER Named-entity recognition batch_69a4bf85e1e08190ba6aac3fcd8bb3e7 completed March 1, 2026, 10:36 p.m.
NED1 Entity disambiguation (via context triple) batch_69acbae1e55c8190a487084e16804e4d completed March 7, 2026, 11:55 p.m.
NEDg Description generation batch_69acbb6b51608190a90f63b6fdd51690 completed March 7, 2026, 11:57 p.m.
NED2 Entity disambiguation (via description) batch_69acbbdbab04819087b42477acbbb5f4 completed March 7, 2026, 11:59 p.m.
Created at: March 1, 2026, 7:47 p.m.