Triple

T11578444
Position Surface form Disambiguated ID Type / Status
Subject Dogon languages E274563 entity
Predicate hasSubgroup P747 FINISHED
Object Ben Tey
Ben Tey is a specific Dogon language variety spoken by the Dogon people of Mali in West Africa.
 E934556 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: Ben Tey | Statement: [Dogon languages, hasSubgroup, Ben Tey]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Ben Tey
Context triple: [Dogon languages, hasSubgroup, Ben Tey]
  • A. Ben Dreith
    Ben Dreith is a former American football official best known for his long career as an NFL referee, including working high-profile games such as Super Bowl XV.
  • B. Ben Gashir
    Ben Gashir is a district of Tripoli, Libya, situated near the city’s main international airport.
  • C. Ben Kutchins
    Ben Kutchins is an American cinematographer known for his work on both film and television, including acclaimed series such as "Ozark."
  • D. Tyler Bight
    Tyler Bight is a coastal inlet or bay located along the shores of San Miguel Island in California’s Channel Islands.
  • E. Ben Lutch
    Ben Lutch is an entrepreneur best known as a co-founder of the early internet search and web portal company Excite.
  • 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: Ben Tey
Triple: [Dogon languages, hasSubgroup, Ben Tey]
Generated description
Ben Tey is a specific Dogon language variety spoken by the Dogon people of Mali in West Africa.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Ben Tey
Target entity description: Ben Tey is a specific Dogon language variety spoken by the Dogon people of Mali in West Africa.
  • A. Ben Dreith
    Ben Dreith is a former American football official best known for his long career as an NFL referee, including working high-profile games such as Super Bowl XV.
  • B. Ben Gashir
    Ben Gashir is a district of Tripoli, Libya, situated near the city’s main international airport.
  • C. Ben Kutchins
    Ben Kutchins is an American cinematographer known for his work on both film and television, including acclaimed series such as "Ozark."
  • D. Tyler Bight
    Tyler Bight is a coastal inlet or bay located along the shores of San Miguel Island in California’s Channel Islands.
  • E. Ben Lutch
    Ben Lutch is an entrepreneur best known as a co-founder of the early internet search and web portal company Excite.
  • 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_69d6aae5ac3c81908d2b0a3a665665b2 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8904b46288190890ecafd6ceb0c3d completed April 10, 2026, 5:53 a.m.
NED1 Entity disambiguation (via context triple) batch_69e714080a60819095205355776c8637 completed April 21, 2026, 6:07 a.m.
NEDg Description generation batch_69e720f9a8588190aa766d2e1628207a completed April 21, 2026, 7:02 a.m.
NED2 Entity disambiguation (via description) batch_69e72315dda08190996aa84587c5fc80 completed April 21, 2026, 7:11 a.m.
Created at: April 8, 2026, 9:38 p.m.