Triple

T8308621
Position Surface form Disambiguated ID Type / Status
Subject Sandeep Das E194528 entity
Predicate collaboratedWith P435 FINISHED
Object Kayhan Kalhor E175096 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: Kayhan Kalhor | Statement: [Sandeep Das, collaboratedWith, Kayhan Kalhor]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kayhan Kalhor
Context triple: [Sandeep Das, collaboratedWith, Kayhan Kalhor]
  • A. Kayhan Kalhor chosen
    Kayhan Kalhor is an acclaimed Iranian kamancheh virtuoso and composer known for his innovative contributions to Persian classical music and cross-cultural collaborations.
  • B. Ibrahim Maalouf
    Ibrahim Maalouf is a French-Lebanese trumpeter and composer renowned for blending jazz with Arabic musical traditions and quarter-tone techniques.
  • C. Yusef Lateef
    Yusef Lateef was an American jazz multi-instrumentalist, composer, and educator known for pioneering the integration of non-Western instruments and musical traditions into modern jazz.
  • D. Navid Negahban
    Navid Negahban is an Iranian-American actor known for his roles in film and television, including prominent performances in series like "Homeland" and various Hollywood productions.
  • E. Omar Kiam
    Omar Kiam was an American costume designer best known for his stylish work in 1930s and 1940s Hollywood films and later in high-end fashion.
  • 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_69ca82e613e88190bf8139669bbd0d53 completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb7f2c06608190bd21633af07a530b completed March 31, 2026, 8 a.m.
NED1 Entity disambiguation (via context triple) batch_69cd955bd69081909d669139c576efb8 completed April 1, 2026, 9:59 p.m.
Created at: March 30, 2026, 5:54 p.m.