Triple

T5870766
Position Surface form Disambiguated ID Type / Status
Subject Mohamed Salah E130509 entity
Predicate fullName P16 FINISHED
Object Mohamed Salah Hamed Mahrous Ghaly E130509 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 Salah Hamed Mahrous Ghaly | Statement: [Mohamed Salah, fullName, Mohamed Salah Hamed Mahrous Ghaly]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mohamed Salah Hamed Mahrous Ghaly
Context triple: [Mohamed Salah, fullName, Mohamed Salah Hamed Mahrous Ghaly]
  • A. Mohamed Salah chosen
    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.
  • B. Sam Morsy
    Sam Morsy is an Egyptian international midfielder known for his combative style and leadership in English football.
  • C. Karim
    Karim is a surname most prominently associated with Jawed Karim, the computer scientist and entrepreneur who co-founded YouTube.
  • D. Karim
    Karim is the birth name of Moroccan-American rapper and producer French Montana.
  • E. 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.
  • 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_69c0085047dc8190af24e311edad3c07 completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c035f6b8548190a58971b05869228d completed March 22, 2026, 6:33 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0a1d39dd081908d77ee82c24178cf completed March 23, 2026, 2:13 a.m.
Created at: March 22, 2026, 3:56 p.m.