Triple

T7399748
Position Surface form Disambiguated ID Type / Status
Subject Khaled Mashal E170715 entity
Predicate name P16 FINISHED
Object Khaled Mashal E170715 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: Khaled Mashal | Statement: [Khaled Mashal, name, Khaled Mashal]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Khaled Mashal
Context triple: [Khaled Mashal, name, Khaled Mashal]
  • A. Khaled Mashal chosen
    Khaled Mashal is a senior Palestinian political leader best known as a longtime top figure and former political bureau chief of Hamas.
  • B. Marwan Barghouti
    Marwan Barghouti is a prominent Palestinian political figure and imprisoned leader widely seen as a key symbol of resistance and a potential future national leader.
  • C. Imad Abu Kishek
    Imad Abu Kishek is a Palestinian academic and administrator who has served as the rector (president) of Al-Quds University in Jerusalem.
  • D. Sheikh Ahmed Yassin
    Sheikh Ahmed Yassin was a Palestinian imam and political leader best known as the founder and spiritual leader of the Islamist militant organization Hamas.
  • E. Usama Fayyad
    Usama Fayyad is a pioneering computer scientist and entrepreneur known for his foundational contributions to data mining and knowledge discovery, including leadership roles in both academia and industry.
  • 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_69c68a5f04188190ac266569c9280347 completed March 27, 2026, 1:47 p.m.
NER Named-entity recognition batch_69c6f24dbf288190b8dfea455148841b completed March 27, 2026, 9:10 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8110b6ffc819080f65c590f6ac156 completed March 28, 2026, 5:34 p.m.
Created at: March 27, 2026, 3:10 p.m.