Triple

T16452151
Position Surface form Disambiguated ID Type / Status
Subject Chadlia Saïda Farhat E399578 entity
Predicate familyName P18 FINISHED
Object Farhat
Farhat is a surname of Arabic origin borne by various individuals, including Tunisian figures such as Chadlia Saïda Farhat.
 E1213017 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: Farhat | Statement: [Chadlia Saïda Farhat, familyName, Farhat]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Farhat
Context triple: [Chadlia Saïda Farhat, familyName, Farhat]
  • A. Jaffar
    Jaffar is the sinister vizier and main antagonist portrayed by Conrad Veidt in the 1940 fantasy film "The Thief of Bagdad."
  • B. Hafik
    Hafik is a small town and district in central Turkey known for its rural character and location within Sivas Province in Central Anatolia.
  • C. Al-Hareeq
    Al-Hareeq is a town in central Saudi Arabia known for its agricultural activity, particularly date palm cultivation, within the Riyadh region.
  • D. Fazl
    Fazl is the given name of Fazl-e-Haq Khairabadi, a 19th-century Indian Islamic scholar, philosopher, and prominent figure in the Indian Rebellion of 1857.
  • E. Fayiz
    Fayiz is a masculine given name of Arabic origin, commonly used as a variant transliteration of the name Fayez.
  • 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: Farhat
Triple: [Chadlia Saïda Farhat, familyName, Farhat]
Generated description
Farhat is a surname of Arabic origin borne by various individuals, including Tunisian figures such as Chadlia Saïda Farhat.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Farhat
Target entity description: Farhat is a surname of Arabic origin borne by various individuals, including Tunisian figures such as Chadlia Saïda Farhat.
  • A. Jaffar
    Jaffar is the sinister vizier and main antagonist portrayed by Conrad Veidt in the 1940 fantasy film "The Thief of Bagdad."
  • B. Hafik
    Hafik is a small town and district in central Turkey known for its rural character and location within Sivas Province in Central Anatolia.
  • C. Al-Hareeq
    Al-Hareeq is a town in central Saudi Arabia known for its agricultural activity, particularly date palm cultivation, within the Riyadh region.
  • D. Fazl
    Fazl is the given name of Fazl-e-Haq Khairabadi, a 19th-century Indian Islamic scholar, philosopher, and prominent figure in the Indian Rebellion of 1857.
  • E. Fayiz
    Fayiz is a masculine given name of Arabic origin, commonly used as a variant transliteration of the name Fayez.
  • 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_69d87f2c6778819080fcfae53be8f12a completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e32ce19344819083d323077b742bc3 completed April 18, 2026, 7:04 a.m.
NED1 Entity disambiguation (via context triple) batch_6a004598ec088190be80ad70e3f1357e completed May 10, 2026, 8:45 a.m.
NEDg Description generation batch_6a00461390608190848c3b896042f1fd completed May 10, 2026, 8:47 a.m.
NED2 Entity disambiguation (via description) batch_6a0046a88e048190baa78506808171b8 completed May 10, 2026, 8:49 a.m.
Created at: April 10, 2026, 5:10 a.m.