Triple

T7899640
Position Surface form Disambiguated ID Type / Status
Subject Edward Hopper E183417 entity
Predicate notableWork P4 FINISHED
Object Automat E183418 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: Automat | Statement: [Edward Hopper, notableWork, Automat]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Automat
Context triple: [Edward Hopper, notableWork, Automat]
  • A. Automat chosen
    "Automat" is a 1927 oil painting by American realist artist Edward Hopper, depicting a solitary woman seated in a self-service restaurant under stark electric light, emblematic of urban isolation and modern alienation.
  • B. Boxcar
    "Boxcar" is a popular punk rock song by the American band Jawbreaker, known for its catchy melody and lyrics critiquing punk subculture labels.
  • C. Dyna
    Dyna is a line of Harley-Davidson motorcycles known for combining big-twin engines with a more agile, sport-oriented chassis.
  • D. Autokomanda
    Autokomanda is a major traffic junction and neighborhood in Belgrade, Serbia, known for its busy interchange connecting several key city districts.
  • E. Automatik Entertainment
    Automatik Entertainment is a film and television production company known for developing and producing a range of feature films and genre projects in Hollywood.
  • 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_69ca828d13088190b222be7aa9f9315c completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb3a3dc2208190a6fea93b60b8daca completed March 31, 2026, 3:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69cb5bb719a08190a0545a361f559bf7 completed March 31, 2026, 5:29 a.m.
Created at: March 30, 2026, 5:02 p.m.