Triple

T5918715
Position Surface form Disambiguated ID Type / Status
Subject Youssef Chahine E131647 entity
Predicate notableWork P4 FINISHED
Object Al-Ard
Al-Ard is a landmark 1969 Egyptian film by director Youssef Chahine that powerfully portrays peasant struggles against feudal oppression in rural Egypt.
 E556954 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: Al-Ard | Statement: [Youssef Chahine, notableWork, Al-Ard]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Al-Ard
Context triple: [Youssef Chahine, notableWork, Al-Ard]
  • A. Erdek
    Erdek is a coastal town and popular seaside resort in Turkey’s Balıkesir Province, located on the Kapıdağ Peninsula along the Sea of Marmara.
  • B. Zemin
    Zemin is a Chinese given name notably borne by Mao Zemin, a revolutionary and younger brother of Mao Zedong.
  • C. La Terre
    La Terre is a naturalist novel by Émile Zola that portrays the brutal lives, struggles, and moral decay of French peasants in the 19th century countryside.
  • D. Maa
    Maa is a Nilotic language spoken primarily by the Maasai people of Kenya and Tanzania.
  • E. Yadamah
    Yadamah is a town in southwestern Saudi Arabia located within the Najran Region near the border with Yemen.
  • 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: Al-Ard
Triple: [Youssef Chahine, notableWork, Al-Ard]
Generated description
Al-Ard is a landmark 1969 Egyptian film by director Youssef Chahine that powerfully portrays peasant struggles against feudal oppression in rural Egypt.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Al-Ard
Target entity description: Al-Ard is a landmark 1969 Egyptian film by director Youssef Chahine that powerfully portrays peasant struggles against feudal oppression in rural Egypt.
  • A. Erdek
    Erdek is a coastal town and popular seaside resort in Turkey’s Balıkesir Province, located on the Kapıdağ Peninsula along the Sea of Marmara.
  • B. Zemin
    Zemin is a Chinese given name notably borne by Mao Zemin, a revolutionary and younger brother of Mao Zedong.
  • C. La Terre
    La Terre is a naturalist novel by Émile Zola that portrays the brutal lives, struggles, and moral decay of French peasants in the 19th century countryside.
  • D. Maa
    Maa is a Nilotic language spoken primarily by the Maasai people of Kenya and Tanzania.
  • E. Yadamah
    Yadamah is a town in southwestern Saudi Arabia located within the Najran Region near the border with Yemen.
  • 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_69c0085a1ed08190a7e9a8b6323fd680 completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c038003c408190b2a89df0b759dcbf completed March 22, 2026, 6:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0c033d59481909495192af85307b7 completed March 23, 2026, 4:23 a.m.
NEDg Description generation batch_69c0c1bf78908190933360b1099b1444 completed March 23, 2026, 4:29 a.m.
NED2 Entity disambiguation (via description) batch_69c0c240c3ac8190895c621c3d326bfd completed March 23, 2026, 4:32 a.m.
Created at: March 22, 2026, 4 p.m.