Triple

T4579268
Position Surface form Disambiguated ID Type / Status
Subject Snowden (2016 film) E101813 entity
Predicate producer P490 FINISHED
Object Moritz Borman E289226 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: Moritz Borman | Statement: [Snowden (2016 film), producer, Moritz Borman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Moritz Borman
Context triple: [Snowden (2016 film), producer, Moritz Borman]
  • A. Moritz Borman chosen
    Moritz Borman is a film producer known for working on major Hollywood productions, including the science fiction action film "Terminator Salvation."
  • B. Emelian Dreitzer
    Emelian Dreitzer was a Soviet political figure known for being one of the defendants in the 1922 "Trial of the Sixteen," a prominent early Bolshevik show trial.
  • C. Karl Grobben
    Karl Grobben was an Austrian zoologist known for his influential work in animal classification, including helping to establish major groups such as the Deuterostomia.
  • D. Emil Sieg
    Emil Sieg was a German linguist and philologist known for his pioneering work on Tocharian and other Indo-European languages.
  • E. Emanuel Geibel
    Emanuel Geibel was a 19th-century German poet and dramatist renowned for his lyrical verse and influential role in shaping German literary culture.
  • 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_69bd43d4ce208190b53158c882b222e3 completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd58e3e028819083c4662deb9f3c03 completed March 20, 2026, 2:25 p.m.
NED1 Entity disambiguation (via context triple) batch_69d74fa545b8819092809c605542476a completed April 9, 2026, 7:05 a.m.
Created at: March 20, 2026, 1:10 p.m.