Triple

T5563386
Position Surface form Disambiguated ID Type / Status
Subject Moussa Mostafa Moussa E145818 entity
Predicate familyName P18 FINISHED
Object Moussa
Moussa is a common Arabic surname and given name, equivalent to "Moses," borne by numerous individuals across the Middle East and North Africa.
 E81197 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: Moussa | Statement: [Moussa Mostafa Moussa, familyName, Moussa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Moussa
Context triple: [Moussa Mostafa Moussa, familyName, Moussa]
  • A. Idrissa
    Idrissa is the given first name of British actor, producer, and musician Idris Elba.
  • B. Musa
    Musa is the name used in the Quran for the prophet Moses, a central figure in Islamic tradition known for leading the Israelites and receiving divine revelation.
  • C. Musa
    Musa is a central character in Arundhati Roy’s novel "The Ministry of Utmost Happiness," around whom key political and personal conflicts in Kashmir revolve.
  • D. Djiba
    Djiba is a locality in the Ituri region of the Democratic Republic of the Congo, known as the birthplace of militia leader Thomas Lubanga Dyilo.
  • E. Mansa
    Mansa is a city in the Malwa region of Punjab, India, known primarily as an agricultural and cotton-growing center.
  • 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: Moussa
Triple: [Moussa Mostafa Moussa, familyName, Moussa]
Generated description
Moussa is a common Arabic surname and given name, equivalent to "Moses," borne by numerous individuals across the Middle East and North Africa.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Moussa
Target entity description: Moussa is a common Arabic surname and given name, equivalent to "Moses," borne by numerous individuals across the Middle East and North Africa.
  • A. Idrissa
    Idrissa is the given first name of British actor, producer, and musician Idris Elba.
  • B. Musa chosen
    Musa is the name used in the Quran for the prophet Moses, a central figure in Islamic tradition known for leading the Israelites and receiving divine revelation.
  • C. Musa
    Musa is a central character in Arundhati Roy’s novel "The Ministry of Utmost Happiness," around whom key political and personal conflicts in Kashmir revolve.
  • D. Djiba
    Djiba is a locality in the Ituri region of the Democratic Republic of the Congo, known as the birthplace of militia leader Thomas Lubanga Dyilo.
  • E. Mansa
    Mansa is a city in the Malwa region of Punjab, India, known primarily as an agricultural and cotton-growing center.
  • F. None of above.

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_69c008fdae24819081aa002ad99cd966 completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c0201ba0e88190acd5bfaa5973f2d8 completed March 22, 2026, 5 p.m.
NED1 Entity disambiguation (via context triple) batch_69c059ebd4008190ba410fac13900fe0 completed March 22, 2026, 9:06 p.m.
NEDg Description generation batch_69c05b7b57d481909f830a6cf7f59c3e completed March 22, 2026, 9:13 p.m.
NED2 Entity disambiguation (via description) batch_69c05c2046c48190a5d100f2dfad8d7b completed March 22, 2026, 9:16 p.m.
Created at: March 22, 2026, 3:36 p.m.