Triple

T18347435
Position Surface form Disambiguated ID Type / Status
Subject Tahar Ben Jelloun E439577 entity
Predicate givenName P17 FINISHED
Object Tahar
Tahar is the given name of Moroccan-French writer and poet Tahar Ben Jelloun, known for his novels and essays on immigration, identity, and human rights.
 E1319428 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: Tahar | Statement: [Tahar Ben Jelloun, givenName, Tahar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Tahar
Context triple: [Tahar Ben Jelloun, givenName, Tahar]
  • A. El Hajeb
    El Hajeb is a town and provincial capital in northern Morocco, situated in the Fès-Meknès region.
  • B. Hassouna
    Hassouna is an Arabic family name commonly borne by individuals from the Middle East and North Africa.
  • C. El Haouaria
    El Haouaria is a coastal town in northeastern Tunisia known for its strategic location at the tip of the Cap Bon peninsula and its traditional falconry.
  • D. Intissar
    Intissar is an Arabic given name, commonly used for women, that means "victory" or "triumph."
  • E. Mansourr
    Mansourr is an alternative spelling of the Arabic given name and surname "Mansour," which is commonly used across the Middle East and North Africa.
  • 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: Tahar
Triple: [Tahar Ben Jelloun, givenName, Tahar]
Generated description
Tahar is the given name of Moroccan-French writer and poet Tahar Ben Jelloun, known for his novels and essays on immigration, identity, and human rights.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Tahar
Target entity description: Tahar is the given name of Moroccan-French writer and poet Tahar Ben Jelloun, known for his novels and essays on immigration, identity, and human rights.
  • A. El Hajeb
    El Hajeb is a town and provincial capital in northern Morocco, situated in the Fès-Meknès region.
  • B. Hassouna
    Hassouna is an Arabic family name commonly borne by individuals from the Middle East and North Africa.
  • C. El Haouaria
    El Haouaria is a coastal town in northeastern Tunisia known for its strategic location at the tip of the Cap Bon peninsula and its traditional falconry.
  • D. Intissar
    Intissar is an Arabic given name, commonly used for women, that means "victory" or "triumph."
  • E. Mansourr
    Mansourr is an alternative spelling of the Arabic given name and surname "Mansour," which is commonly used across the Middle East and North Africa.
  • 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_69d8b9175fec8190af865699b4e64d8c completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e514f594f88190a683e6224e091593 completed April 19, 2026, 5:46 p.m.
NED1 Entity disambiguation (via context triple) batch_6a03cc266d608190988a7250a2626575 completed May 13, 2026, 12:56 a.m.
NEDg Description generation batch_6a03cd30105c8190925ebd435d7b2925 completed May 13, 2026, 1 a.m.
NED2 Entity disambiguation (via description) batch_6a03cdac1cc48190a1056371bed04c90 completed May 13, 2026, 1:02 a.m.
Created at: April 10, 2026, 10:37 a.m.