Triple

T20589165
Position Surface form Disambiguated ID Type / Status
Subject Khalil Esfandiary-Bakhtiary E505867 entity
Predicate ethnicGroup P194 FINISHED
Object Bakhtiari NE NERFINISHED

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: Bakhtiari | Statement: [Khalil Esfandiary-Bakhtiary, ethnicGroup, Bakhtiari]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bakhtiari
Context triple: [Khalil Esfandiary-Bakhtiary, ethnicGroup, Bakhtiari]
  • A. Bakhtiari
    Bakhtiari is a surname most prominently associated with David Bakhtiari, an American football offensive tackle in the NFL.
  • B. Kermani
    Kermani is a Persian-origin surname borne by various notable individuals, including writers, scholars, and public figures of Iranian descent.
  • C. Bakhtiari tribe chosen
    The Bakhtiari tribe is a traditionally nomadic Iranian ethnic group from the Zagros Mountains, known for their pastoral lifestyle, rich cultural heritage, and historical role in Iran’s political and social life.
  • D. Daylam
    Daylam was a mountainous historical region in northern Iran, inhabited by the Daylamite people and known for its fierce warriors and relative autonomy from surrounding empires.
  • E. Pishva
    Pishva is a city in Tehran Province, Iran, known as an administrative and local commercial center for the surrounding region.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b4b9669c8190b8e81fc72817d42c completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6a979e4a48190a948165fb0f3b265 completed April 20, 2026, 10:32 p.m.
Created at: April 16, 2026, 11:40 a.m.