Triple

T8127266
Position Surface form Disambiguated ID Type / Status
Subject Ali Hajimiri E189762 entity
Predicate name P16 FINISHED
Object Ali Hajimiri E189762 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: Ali Hajimiri | Statement: [Ali Hajimiri, name, Ali Hajimiri]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ali Hajimiri
Context triple: [Ali Hajimiri, name, Ali Hajimiri]
  • A. Ali Hajimiri chosen
    Ali Hajimiri is an Iranian-American electrical engineer and Caltech professor renowned for his pioneering work in integrated circuits, phased-array systems, and high-frequency electronics.
  • B. 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.
  • C. Amir Shinar
    Amir Shinar is an Israeli entrepreneur and software engineer best known as one of the co-founders of the GPS navigation and traffic app Waze.
  • D. Kianoush Ayari
    Kianoush Ayari is an acclaimed Iranian film director known for his socially conscious, realist storytelling and influential contributions to contemporary Iranian cinema.
  • E. Mark Kudsi
    Mark Kudsi is a music video director known for creating visually innovative, high-concept videos for major pop and hip-hop artists.
  • 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_69ca82bb74848190afb1f18640632c10 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb438ff4e08190a9af0f3e6401c9b2 completed March 31, 2026, 3:46 a.m.
NED1 Entity disambiguation (via context triple) batch_69cc947303f881908e16af664fb74dc8 completed April 1, 2026, 3:43 a.m.
Created at: March 30, 2026, 5:34 p.m.