Triple

T3859662
Position Surface form Disambiguated ID Type / Status
Subject King of New York E90103 entity
Predicate cinematographyBy P1953 FINISHED
Object Bojan Bazelli E199376 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: Bojan Bazelli | Statement: [King of New York, cinematographyBy, Bojan Bazelli]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bojan Bazelli
Context triple: [King of New York, cinematographyBy, Bojan Bazelli]
  • A. Bojan Bazelli chosen
    Bojan Bazelli is a renowned cinematographer known for his visually striking and atmospheric work on films such as "Spectral," "A Cure for Wellness," and collaborations with directors like Gore Verbinski.
  • B. Eric Banadinović
    Eric Banadinović, better known as Eric Bana, is an Australian actor and comedian recognized for his roles in films such as "Hulk," "Munich," and "Troy."
  • C. Igor Martinovic
    Igor Martinovic is a cinematographer best known for his acclaimed work on the Oscar-winning documentary "Man on Wire" and various high-profile film and television projects.
  • D. Tomaz Cesen
    Tomaz Cesen is a Slovenian mountaineer and alpinist known for his bold and sometimes controversial high-difficulty ascents in the Himalayas and Alps.
  • E. Stefen Djordjevic
    Stefen Djordjevic is a talented high school football player from a struggling Pennsylvania steel town whose dreams of earning a college scholarship drive the drama in the film "All the Right Moves."
  • 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_69aed95b3c088190a8f85d19e6070599 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aeec1ff39c8190b83a88abd840a0e3 completed March 9, 2026, 3:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69b512348fe88190b5ae942809732b76 completed March 14, 2026, 7:45 a.m.
Created at: March 9, 2026, 3:19 p.m.