Triple

T1707830
Position Surface form Disambiguated ID Type / Status
Subject Aziz Dweik E36909 entity
Predicate familyName P18 FINISHED
Object Dweik
Dweik is a family name most notably associated with Palestinian politician Aziz Dweik, a senior Hamas figure and former speaker of the Palestinian Legislative Council.
 E197845 NE FINISHED

How this triple was built (4 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: Dweik | Statement: [Aziz Dweik, familyName, Dweik]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Dweik
Context triple: [Aziz Dweik, familyName, Dweik]
  • A. Hamutal
    Hamutal was a queen of Judah, known as the mother of the last king of Judah, Zedekiah, during the final years before the Babylonian exile.
  • B. Jakaltek
    Jakaltek is a Mayan language spoken primarily by the Jakaltek (Popti’) people of Guatemala’s western highlands.
  • C. Auron
    Auron is a river in central France that flows through the Cher department and joins the Yèvre near the city of Bourges.
  • D. Durkan
    Durkan is a surname most notably associated with Jenny Durkan, the former mayor of Seattle and an American attorney and politician.
  • E. The Turim
    The Turim is a foundational 14th-century Jewish legal code by Rabbi Jacob ben Asher that systematically organizes halakhic rulings into four major sections.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Dweik
Triple: [Aziz Dweik, familyName, Dweik]
Generated description
Dweik is a family name most notably associated with Palestinian politician Aziz Dweik, a senior Hamas figure and former speaker of the Palestinian Legislative Council.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Dweik
Target entity description: Dweik is a family name most notably associated with Palestinian politician Aziz Dweik, a senior Hamas figure and former speaker of the Palestinian Legislative Council.
  • A. Hamutal
    Hamutal was a queen of Judah, known as the mother of the last king of Judah, Zedekiah, during the final years before the Babylonian exile.
  • B. Jakaltek
    Jakaltek is a Mayan language spoken primarily by the Jakaltek (Popti’) people of Guatemala’s western highlands.
  • C. Auron
    Auron is a river in central France that flows through the Cher department and joins the Yèvre near the city of Bourges.
  • D. Durkan
    Durkan is a surname most notably associated with Jenny Durkan, the former mayor of Seattle and an American attorney and politician.
  • E. The Turim
    The Turim is a foundational 14th-century Jewish legal code by Rabbi Jacob ben Asher that systematically organizes halakhic rulings into four major sections.
  • F. None of above. chosen

Provenance (5 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_69a88617439c819094ffb5d16a0f6307 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69aa62f6fc9c8190b61cc9872cc2adc0 completed March 6, 2026, 5:15 a.m.
NED1 Entity disambiguation (via context triple) batch_69ada97a55948190b4c58503d53132f0 completed March 8, 2026, 4:53 p.m.
NEDg Description generation batch_69adaab1fb6881908e0711ae1b69e2e5 completed March 8, 2026, 4:58 p.m.
NED2 Entity disambiguation (via description) batch_69adaea486d0819097357d881b70d114 completed March 8, 2026, 5:15 p.m.
Created at: March 4, 2026, 7:30 p.m.