Triple

T6980463
Position Surface form Disambiguated ID Type / Status
Subject Mansour E161829 entity
Predicate hasVariantSpelling P457 FINISHED
Object 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.
E634052 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: Mansourr | Statement: [Mansour, hasVariantSpelling, Mansourr]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mansourr
Context triple: [Mansour, hasVariantSpelling, Mansourr]
  • A. Sidi Ali
    Sidi Ali is a small settlement in Morocco located near the mountain lake Aguelmame Sidi Ali, known for its scenic high-altitude surroundings.
  • B. Kharbouch
    Kharbouch is the family surname of Moroccan-American rapper and entrepreneur French Montana.
  • C. Boulemane
    Boulemane is a town and province in northeastern Morocco known for its mountainous landscapes and location within the Middle Atlas region.
  • D. Oussouye
    Oussouye is a town in southern Senegal’s Casamance region, known for its Jola culture and as a center of local traditions and languages.
  • E. Chenoua
    Chenoua is a Berber (Amazigh) language variety spoken by the Chenoua people in northern Algeria.
  • 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: Mansourr
Triple: [Mansour, hasVariantSpelling, Mansourr]
Generated description
Mansourr is an alternative spelling of the Arabic given name and surname "Mansour," which is commonly used across the Middle East and North Africa.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Mansourr
Target entity description: Mansourr is an alternative spelling of the Arabic given name and surname "Mansour," which is commonly used across the Middle East and North Africa.
  • A. Sidi Ali
    Sidi Ali is a small settlement in Morocco located near the mountain lake Aguelmame Sidi Ali, known for its scenic high-altitude surroundings.
  • B. Kharbouch
    Kharbouch is the family surname of Moroccan-American rapper and entrepreneur French Montana.
  • C. Boulemane
    Boulemane is a town and province in northeastern Morocco known for its mountainous landscapes and location within the Middle Atlas region.
  • D. Oussouye
    Oussouye is a town in southern Senegal’s Casamance region, known for its Jola culture and as a center of local traditions and languages.
  • E. Chenoua
    Chenoua is a Berber (Amazigh) language variety spoken by the Chenoua people in northern Algeria.
  • 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_69c68855dc0481909b4c7e9e9ed273db completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6db6c1efc8190ab1575ae2ce726db completed March 27, 2026, 7:33 p.m.
NED1 Entity disambiguation (via context triple) batch_69c761bb90f48190882a58c2da10b3e4 completed March 28, 2026, 5:06 a.m.
NEDg Description generation batch_69c763d0e5d481909a98dd01806264f1 completed March 28, 2026, 5:14 a.m.
NED2 Entity disambiguation (via description) batch_69c764580f888190872ca1d2230648e8 completed March 28, 2026, 5:17 a.m.
Created at: March 27, 2026, 2:31 p.m.