Triple

T8009859
Position Surface form Disambiguated ID Type / Status
Subject Entissar Amer el-Sisi E186457 entity
Predicate givenName P17 FINISHED
Object Entissar E166156 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: Entissar | Statement: [Entissar Amer el-Sisi, givenName, Entissar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Entissar
Context triple: [Entissar Amer el-Sisi, givenName, Entissar]
  • A. Entissar chosen
    Entissar is an Arabic feminine given name commonly used in the Middle East and North Africa, meaning "victory" or "triumph."
  • B. Yasa'ur
    Yasa'ur was a Mongol prince and military leader who played a significant role in the politics and conflicts of the Chagatai Khanate during the early 14th century.
  • C. Ochtum
    The Ochtum is a river in northwestern Germany that flows through Lower Saxony and Bremen before joining the Weser.
  • D. Selaaru
    Selaaru is an Austronesian language spoken on Selaru Island in Indonesia’s Tanimbar Islands.
  • E. Kauthara
    Kauthara was an important historical city that served as one of the principal political and cultural centers of the Champa civilization in what is now central Vietnam.
  • 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_69ca82abaffc8190ab8af79cdbc31ab3 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb3d70caf8819090a9f98025470c0d completed March 31, 2026, 3:20 a.m.
NED1 Entity disambiguation (via context triple) batch_69cc56a54e8081908208b57b7390cc95 completed March 31, 2026, 11:20 p.m.
Created at: March 30, 2026, 5:19 p.m.