Triple

T16910081
Position Surface form Disambiguated ID Type / Status
Subject Death to Smoochy E410170 entity
Predicate cinematographer P1953 FINISHED
Object Anastas N. Michos E140875 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: Anastas N. Michos | Statement: [Death to Smoochy, cinematographer, Anastas N. Michos]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Anastas N. Michos
Context triple: [Death to Smoochy, 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. 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.
  • D. 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.
  • E. Harlan Krumholz
    Harlan Krumholz is an American cardiologist and health outcomes researcher known for his work on quality of care, patient-centered outcomes, and healthcare transparency.
  • 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_69d886c7b1e481908c3766dfa8c13458 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3ca3ca0c481909ff361ccf4a922e3 completed April 18, 2026, 6:15 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00c7bb4ac481909318d3d61a2d10e1 completed May 10, 2026, 6 p.m.
Created at: April 10, 2026, 5:30 a.m.