Triple

T11632949
Position Surface form Disambiguated ID Type / Status
Subject Imam E276444 entity
Predicate leads P3717 FINISHED
Object Salah E657287 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: Salah | Statement: [Imam, leads, Salah]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Salah
Context triple: [Imam, leads, Salah]
  • A. Salah chosen
    Salah is the Islamic ritual prayer performed by Muslims five times daily as a central act of worship and devotion to God.
  • B. Mohamed Salah
    Mohamed Salah is an Egyptian professional footballer renowned as one of the world’s leading forwards, particularly for his prolific goal-scoring and success with Liverpool FC and the Egypt national team.
  • C. Riyad Mahrez
    Riyad Mahrez is an Algerian professional footballer, renowned as a skillful winger, who has starred for clubs like Leicester City and Manchester City and played a key role in multiple Premier League title wins.
  • D. Sadio Mané
    Sadio Mané is a Senegalese professional footballer renowned as one of Africa’s top forwards, known for his prolific spells at Liverpool and Bayern Munich before moving to the Saudi Pro League.
  • E. Mohamed Fayek
    Mohamed Fayek is a human rights expert and former Egyptian official who served as a member of the United Nations International Commission of Inquiry on Darfur.
  • 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_69d6aafa51148190ab84940694c00235 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a25aa9188190ab13d79139f37e7e completed April 10, 2026, 7:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69ee87b12044819098a858edb2b16689 completed April 26, 2026, 9:46 p.m.
Created at: April 8, 2026, 9:39 p.m.