Triple

T6584589
Position Surface form Disambiguated ID Type / Status
Subject Derg E159188 entity
Predicate leader P981 FINISHED
Object Tafari Benti
Tafari Benti was an Ethiopian military officer and head of state who briefly led the Derg junta during the mid-1970s following the overthrow of Emperor Haile Selassie.
E599547 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: Tafari Benti | Statement: [Derg, leader, Tafari Benti]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tafari Benti
Context triple: [Derg, leader, Tafari Benti]
  • A. Oshindali
    Oshindali is a regional dialect of the Oshiwambo language spoken primarily by communities in northern Namibia and southern Angola.
  • B. Sidamu Afoo
    Sidamu Afoo is the Cushitic language spoken by the Sidama people of southern Ethiopia.
  • C. Mukundi Lal
    Mukundi Lal was an Indian revolutionary freedom fighter known for his involvement in the Kakori train robbery against British colonial rule.
  • D. 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.
  • E. 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.
  • 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: Tafari Benti
Triple: [Derg, leader, Tafari Benti]
Generated description
Tafari Benti was an Ethiopian military officer and head of state who briefly led the Derg junta during the mid-1970s following the overthrow of Emperor Haile Selassie.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Tafari Benti
Target entity description: Tafari Benti was an Ethiopian military officer and head of state who briefly led the Derg junta during the mid-1970s following the overthrow of Emperor Haile Selassie.
  • A. Oshindali
    Oshindali is a regional dialect of the Oshiwambo language spoken primarily by communities in northern Namibia and southern Angola.
  • B. Sidamu Afoo
    Sidamu Afoo is the Cushitic language spoken by the Sidama people of southern Ethiopia.
  • C. Mukundi Lal
    Mukundi Lal was an Indian revolutionary freedom fighter known for his involvement in the Kakori train robbery against British colonial rule.
  • D. 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.
  • E. 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.
  • 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_69c688366ce8819083f8883983c0df92 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6aeacbde08190a2e4e82cd12bc43f completed March 27, 2026, 4:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6cbaafed8819096423d47dd4375a7 completed March 27, 2026, 6:25 p.m.
NEDg Description generation batch_69c6cd08a9c88190a481d4d3f8e680bf completed March 27, 2026, 6:31 p.m.
NED2 Entity disambiguation (via description) batch_69c6cdc859cc8190bbae2efc39409021 completed March 27, 2026, 6:34 p.m.
Created at: March 27, 2026, 1:54 p.m.