Triple

T20160869
Position Surface form Disambiguated ID Type / Status
Subject Mona Lisa Smile E491698 entity
Predicate cinematographer P1953 FINISHED
Object Anastas N. Michos 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: Anastas N. Michos | Statement: [Mona Lisa Smile, cinematographer, Anastas N. Michos]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Anastas N. Michos
Context triple: [Mona Lisa Smile, cinematographer, Anastas N. Michos]
  • A. Anastas N. Michos chosen
    Anastas N. Michos is a cinematographer known for his work on feature films including the musical drama "Black Nativity."
  • B. George D. Behrakis
    George D. Behrakis is an American pharmaceutical entrepreneur, philanthropist, and prominent benefactor to educational and cultural institutions, particularly within the Greek-American community.
  • C. Robert H. Gundry
    Robert H. Gundry is an American New Testament scholar and theologian known for his influential work on biblical interpretation and commentary.
  • D. Andreas Acrivos
    Andreas Acrivos was a prominent Greek-American chemical engineer and fluid dynamicist renowned for his pioneering contributions to transport phenomena and complex fluid flows.
  • E. Michael J. Tougias
    Michael J. Tougias is an American author and historian best known for his nonfiction accounts of maritime disasters and survival at sea.
  • 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_69da6266c6888190bc1a3ecf24814d34 completed April 11, 2026, 3:01 p.m.
NER Named-entity recognition batch_69e667e43940819080f6a0b7331aaab0 completed April 20, 2026, 5:52 p.m.
Created at: April 11, 2026, 11:34 p.m.