Triple

T7761783
Position Surface form Disambiguated ID Type / Status
Subject Ali ibn Uthman al-Hujwiri E176038 entity
Predicate hasTitle P38 FINISHED
Object Data Ganj Bakhsh E687999 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: Data Ganj Bakhsh | Statement: [Ali ibn Uthman al-Hujwiri, hasTitle, Data Ganj Bakhsh]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Data Ganj Bakhsh
Context triple: [Ali ibn Uthman al-Hujwiri, hasTitle, Data Ganj Bakhsh]
  • A. Data Ganj Bakhsh chosen
    Data Ganj Bakhsh is a renowned 11th-century Persian Sufi saint and scholar, venerated especially in South Asia for his influential teachings and spiritual legacy.
  • B. Generator Entertainment
    Generator Entertainment is a television production company known for its involvement in high-profile series such as the first season of "Game of Thrones."
  • C. BGB
    BGB is the foundational codification of private law in Germany, governing areas such as contracts, property, family, and inheritance.
  • D. Data General
    Data General was an American minicomputer manufacturer known for its Eclipse and Nova systems and as a key rival to companies like Digital Equipment Corporation during the 1970s and 1980s.
  • E. Tappin
    Tappin is a professional collaborator or business partner associated with Joseph Reed.
  • 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_69c69962923c8190ac74d28b4f9fe0a0 completed March 27, 2026, 2:51 p.m.
NER Named-entity recognition batch_69c70404c2108190ad2b900ac9bf582b completed March 27, 2026, 10:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8d6c8276c8190bdc3efc2a6175610 completed March 29, 2026, 7:37 a.m.
Created at: March 27, 2026, 4:09 p.m.