Triple

T11578438
Position Surface form Disambiguated ID Type / Status
Subject Dogon languages E274563 entity
Predicate hasSubgroup P747 FINISHED
Object Tommo So
Tommo So is a Dogon language spoken in Mali, known for its complex tonal system and rich oral tradition.
 E934550 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: Tommo So | Statement: [Dogon languages, hasSubgroup, Tommo So]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Tommo So
Context triple: [Dogon languages, hasSubgroup, Tommo So]
  • A. Tommo
    Tommo is a familiar diminutive nickname commonly used for people named Thomas, especially in British and Australian contexts.
  • B. Tommy Tar
    Tommy Tar is the official mascot character representing the Tars athletic teams.
  • C. Tommy Vig
    Tommy Vig is a Hungarian-American jazz vibraphonist, composer, and bandleader known for his work in both European and American jazz scenes.
  • D. Ben Daimio
    Ben Daimio is a former U.S. Marine turned scarred, resurrected field leader in the Hellboy universe’s B.P.R.D., known for his volatile temperament and hidden monstrous curse.
  • E. Tony To
    Tony To is a television and film producer and director known for his work on high-profile series such as "Band of Brothers" and "The Pacific."
  • 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: Tommo So
Triple: [Dogon languages, hasSubgroup, Tommo So]
Generated description
Tommo So is a Dogon language spoken in Mali, known for its complex tonal system and rich oral tradition.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Tommo So
Target entity description: Tommo So is a Dogon language spoken in Mali, known for its complex tonal system and rich oral tradition.
  • A. Tommo
    Tommo is a familiar diminutive nickname commonly used for people named Thomas, especially in British and Australian contexts.
  • B. Tommy Tar
    Tommy Tar is the official mascot character representing the Tars athletic teams.
  • C. Tommy Vig
    Tommy Vig is a Hungarian-American jazz vibraphonist, composer, and bandleader known for his work in both European and American jazz scenes.
  • D. Ben Daimio
    Ben Daimio is a former U.S. Marine turned scarred, resurrected field leader in the Hellboy universe’s B.P.R.D., known for his volatile temperament and hidden monstrous curse.
  • E. Tony To
    Tony To is a television and film producer and director known for his work on high-profile series such as "Band of Brothers" and "The Pacific."
  • 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.