Triple

T19739703
Position Surface form Disambiguated ID Type / Status
Subject Talal Maddah E474081 entity
Predicate nativeName P15 FINISHED
Object طلال مداح NE NERFINISHED

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: طلال مداح | Statement: [Talal Maddah, nativeName, طلال مداح]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: طلال مداح
Context triple: [Talal Maddah, nativeName, طلال مداح]
  • A. Talal Maddah chosen
    Talal Maddah was a pioneering Saudi Arabian singer and composer widely regarded as one of the most influential figures in modern Arabic music.
  • B. Saleh Omar
    Saleh Omar is a central, enigmatic refugee protagonist in Abdulrazak Gurnah’s novel "By the Sea," whose past and identity gradually unfold through his interactions and memories.
  • C. Mansour Khalid
    Mansour Khalid was a prominent Sudanese politician, diplomat, and intellectual who served in senior government positions and played a key role in Sudan’s modern political history.
  • D. Said Al Mana
    Said Al Mana is a member of the prominent Al Mana family, a well-known Qatari business dynasty involved in diverse commercial and investment activities.
  • E. Al-Mathani
    Al-Mathani is a traditional Qur’anic classification referring to the “oft-repeated” surahs that are recited frequently and hold a central place in Muslim devotional practice.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8e517ebd48190979ee76723bcfadf completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e651607e388190bbb2aaed252820fe completed April 20, 2026, 4:16 p.m.
Created at: April 10, 2026, 1:47 p.m.