Triple
T4784143
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Somali people |
E106434
|
entity |
| Predicate | majorClanFamily |
P1915
|
FINISHED |
| Object |
Dir
Dir is one of the oldest and largest Somali clan families, historically influential across the Horn of Africa and central to Somali social and political structures.
|
E468908
|
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: Dir | Statement: [Somali people, majorClanFamily, Dir]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dir Context triple: [Somali people, majorClanFamily, Dir]
-
A.
Dir
Dir is a town in Pakistan’s Khyber Pakhtunkhwa province, historically serving as a key gateway between the northern valleys and the Lowari Pass route to Chitral.
-
B.
Director K
Director K is a Nigerian music video director known for crafting visually striking videos for prominent Afrobeats artists.
-
C.
Ken Biller
Ken Biller is a television writer, producer, and director best known for his work on series such as "Star Trek: Voyager" and "Genius."
-
D.
Joseph Kosinski
Joseph Kosinski is an American film director known for visually striking, effects-driven blockbusters such as Tron: Legacy, Oblivion, and Top Gun: Maverick.
-
E.
Mr. Director
Mr. Director is the formal style of address used for the Cabinet-level head of the United States Office of Management and Budget.
- 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: Dir Triple: [Somali people, majorClanFamily, Dir]
Generated description
Dir is one of the oldest and largest Somali clan families, historically influential across the Horn of Africa and central to Somali social and political structures.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Dir Target entity description: Dir is one of the oldest and largest Somali clan families, historically influential across the Horn of Africa and central to Somali social and political structures.
-
A.
Dir
Dir is a town in Pakistan’s Khyber Pakhtunkhwa province, historically serving as a key gateway between the northern valleys and the Lowari Pass route to Chitral.
-
B.
Director K
Director K is a Nigerian music video director known for crafting visually striking videos for prominent Afrobeats artists.
-
C.
Ken Biller
Ken Biller is a television writer, producer, and director best known for his work on series such as "Star Trek: Voyager" and "Genius."
-
D.
Joseph Kosinski
Joseph Kosinski is an American film director known for visually striking, effects-driven blockbusters such as Tron: Legacy, Oblivion, and Top Gun: Maverick.
-
E.
Mr. Director
Mr. Director is the formal style of address used for the Cabinet-level head of the United States Office of Management and Budget.
- 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_69bd43f4a9588190bf73e20bc27c03cc |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd6c40b3c881909be9fd9ee892993b |
completed | March 20, 2026, 3:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be43dbdec88190817845e7930a18f6 |
completed | March 21, 2026, 7:08 a.m. |
| NEDg | Description generation | batch_69be447c21d48190ab57c8761e733ff4 |
completed | March 21, 2026, 7:10 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69be45f5ebec8190b62c428b465d1bd9 |
completed | March 21, 2026, 7:17 a.m. |
Created at: March 20, 2026, 1:22 p.m.