Triple

T14522241
Position Surface form Disambiguated ID Type / Status
Subject Mohamed Hussein Roble E340680 entity
Predicate familyName P18 FINISHED
Object Roble
Roble is a Somali surname most notably borne by Mohamed Hussein Roble, a former Prime Minister of Somalia.
 E1105169 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: Roble | Statement: [Mohamed Hussein Roble, familyName, Roble]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Roble
Context triple: [Mohamed Hussein Roble, familyName, Roble]
  • A. Bois d’Orange
    Bois d’Orange is a citrus-inspired fragrance line by Roger & Gallet known for its fresh, orange-blossom and woody notes.
  • B. Tanne
    Tanne is a small village in the Harz region of central Germany, now part of the town of Oberharz am Brocken.
  • C. Cedrela
    Cedrela is a genus of tropical and subtropical trees known for their valuable, often aromatic timber similar to mahogany.
  • D. Sakao
    Sakao is an Oceanic language spoken on the island of Espiritu Santo in Vanuatu, noted for its complex phonology and distinctive sound changes.
  • E. Algarrobo
    Algarrobo is a coastal resort town in central Chile known for its beaches and large vacation developments along the Pacific Ocean.
  • 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: Roble
Triple: [Mohamed Hussein Roble, familyName, Roble]
Generated description
Roble is a Somali surname most notably borne by Mohamed Hussein Roble, a former Prime Minister of Somalia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Roble
Target entity description: Roble is a Somali surname most notably borne by Mohamed Hussein Roble, a former Prime Minister of Somalia.
  • A. Bois d’Orange
    Bois d’Orange is a citrus-inspired fragrance line by Roger & Gallet known for its fresh, orange-blossom and woody notes.
  • B. Tanne
    Tanne is a small village in the Harz region of central Germany, now part of the town of Oberharz am Brocken.
  • C. Cedrela
    Cedrela is a genus of tropical and subtropical trees known for their valuable, often aromatic timber similar to mahogany.
  • D. Sakao
    Sakao is an Oceanic language spoken on the island of Espiritu Santo in Vanuatu, noted for its complex phonology and distinctive sound changes.
  • E. Algarrobo
    Algarrobo is a coastal resort town in central Chile known for its beaches and large vacation developments along the Pacific Ocean.
  • 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_69d822dac79c8190a84a073f3cbaced5 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69de9a72cff08190878b4bed9b0b5eb5 completed April 14, 2026, 7:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd7a4da6908190a3e2cae16f6240d9 completed May 8, 2026, 5:53 a.m.
NEDg Description generation batch_69fd7bc384b88190bdf562e68b0c44f6 completed May 8, 2026, 5:59 a.m.
NED2 Entity disambiguation (via description) batch_69fd7c2260808190bced99ed86e8fd4b completed May 8, 2026, 6:01 a.m.
Created at: April 10, 2026, 1:22 a.m.