Triple

T16033924
Position Surface form Disambiguated ID Type / Status
Subject Hashim Thaçi E388917 entity
Predicate givenName P17 FINISHED
Object Hashim E126098 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: Hashim | Statement: [Hashim Thaçi, givenName, Hashim]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hashim
Context triple: [Hashim Thaçi, givenName, Hashim]
  • A. Hashim chosen
    Hashim is the given name of Prince Hashim bin Hussein, a member of the Jordanian royal family.
  • B. Hassan Ali
    Hassan Ali is a given name commonly used in Muslim communities, notably borne by figures such as the 19th-century educationist Hassan Ali Effendi of British India.
  • C. Rashid
    Rashid is one of the child mascots created to represent the themes of innovation and optimism at Expo 2020 Dubai.
  • D. Rashid
    Rashid is a common male given name of Arabic origin meaning "rightly guided" or "wise."
  • E. Rashid
    Rashid, also known as Rosetta, is a historic port city in northern Egypt famed for the discovery of the Rosetta Stone.
  • 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_69d86dada3808190825d5f80d72fbe88 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e1833a5aa88190a5cc3f82d55f5b62 completed April 17, 2026, 12:47 a.m.
NED1 Entity disambiguation (via context triple) batch_69ffdbd1cafc81909125174eed475d55 completed May 10, 2026, 1:13 a.m.
Created at: April 10, 2026, 4:56 a.m.