Triple

T2366580
Position Surface form Disambiguated ID Type / Status
Subject Suha Arafat E45994 entity
Predicate mother P120 FINISHED
Object Raymond Tawil E287314 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: Raymond Tawil | Statement: [Suha Arafat, mother, Raymond Tawil]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Raymond Tawil
Context triple: [Suha Arafat, mother, Raymond Tawil]
  • A. Raymond Tawil chosen
    Raymond Tawil is a Palestinian intellectual and political figure known for his activism and for being the father of Suha Arafat, the widow of Palestinian leader Yasser Arafat.
  • B. Antoine Nahas
    Antoine Nahas was a Lebanese architect best known for designing the National Museum of Beirut, a landmark institution of Lebanon’s cultural heritage.
  • C. Wissam Al Mana
    Wissam Al Mana is a Qatari businessman and executive known for his leadership in the Al Mana Group, a major Middle Eastern retail and investment conglomerate.
  • D. Marwan Kenzari
    Marwan Kenzari is a Dutch-Tunisian actor known for his roles in international films such as Disney’s live-action Aladdin and various Hollywood thrillers and dramas.
  • E. Joseph Bishara
    Joseph Bishara is an American composer and actor best known for creating the unsettling musical scores and portraying demonic entities in modern horror films such as those in The Conjuring and Insidious franchises.
  • 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_69a88a145268819083e2736cb835c696 completed March 4, 2026, 7:37 p.m.
NER Named-entity recognition batch_69abc74b6bdc8190a12b2bcaa2dd7616 completed March 7, 2026, 6:35 a.m.
NED1 Entity disambiguation (via context triple) batch_69afaf32014c8190aa3cfea010c3bb39 completed March 10, 2026, 5:42 a.m.
Created at: March 4, 2026, 7:56 p.m.