Triple

T21301658
Position Surface form Disambiguated ID Type / Status
Subject Behrouz Vossoughi E525078 entity
Predicate hasWorkedWith P9615 FINISHED
Object Googoosh 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: Googoosh | Statement: [Behrouz Vossoughi, hasWorkedWith, Googoosh]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Googoosh
Context triple: [Behrouz Vossoughi, hasWorkedWith, Googoosh]
  • A. Googoosh chosen
    Googoosh is a legendary Iranian pop singer and actress, widely regarded as one of the most iconic and influential figures in Persian music and cinema.
  • B. Ali Payami
    Ali Payami is a Swedish-Iranian record producer and songwriter known for his work on major pop and electronic hits with artists like The Weeknd, Taylor Swift, and Ariana Grande.
  • C. Arash Ferdowsi
    Arash Ferdowsi is an American entrepreneur and computer scientist best known as the co-founder and former CTO of the cloud storage company Dropbox.
  • D. Khwaju Kermani
    Khwaju Kermani was a prominent 14th-century Persian poet and mystic known for his lyrical and philosophical works in the classical Persian literary tradition.
  • E. Ghashghaei
    The Ghashghaei are a traditionally nomadic Turkic-speaking tribal group of southwestern Iran known for their pastoral lifestyle, rich cultural heritage, and distinctive carpet weaving.
  • 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_69e0b517e6748190850d6f6ddf323d69 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e7385cd6308190bf300494833b048f completed April 21, 2026, 8:42 a.m.
Created at: April 16, 2026, 4:05 p.m.