Triple

T6512193
Position Surface form Disambiguated ID Type / Status
Subject Mo Farah E150162 entity
Predicate fullName P16 FINISHED
Object Mohamed Muktar Jama Farah E150162 NE FINISHED

How this triple was built (2 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: Mohamed Muktar Jama Farah | Statement: [Mo Farah, fullName, Mohamed Muktar Jama Farah]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mohamed Muktar Jama Farah
Context triple: [Mo Farah, fullName, Mohamed Muktar Jama Farah]
  • A. Eliud Williams
    Eliud Williams is a Dominican politician who served as the President of the Commonwealth of Dominica in the early 2010s.
  • B. Abebe Bikila
    Abebe Bikila was an Ethiopian marathon runner famed for winning back-to-back Olympic gold medals, including a historic barefoot victory in the 1960 Rome Games.
  • C. Galen Rupp
    Galen Rupp is an American long-distance runner and Olympic medalist known for his success in track and marathon events.
  • D. Sir Mo Farah chosen
    Sir Mo Farah is a British long-distance runner, best known for his multiple Olympic and World Championship gold medals in the 5,000m and 10,000m events.
  • E. Sifan Hassan
    Sifan Hassan is an Ethiopian-born Dutch middle- and long-distance runner renowned for her dominance on the track, including multiple world and Olympic titles across events from 1500m to the marathon.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69c687ef291081909d437f035eef1cda completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c69f3c5eb88190a56723acd8096dd8 completed March 27, 2026, 3:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6cb6421748190b8f2b77c77b153bc completed March 27, 2026, 6:24 p.m.
Created at: March 27, 2026, 1:44 p.m.