Triple

T10493019
Position Surface form Disambiguated ID Type / Status
Subject The Conspirators E247463 entity
Predicate artDirectionBy P7743 FINISHED
Object Anton Grot E772168 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: Anton Grot | Statement: [The Conspirators, artDirectionBy, Anton Grot]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Anton Grot
Context triple: [The Conspirators, artDirectionBy, Anton Grot]
  • A. Anton Grot chosen
    Anton Grot was a prominent Polish-born art director and production designer in Hollywood’s Golden Age, known for his influential visual style on numerous Warner Bros. films of the 1930s and 1940s.
  • B. Anton Haus
    Anton Haus was an Austro-Hungarian admiral who served as the Commander-in-Chief of the Austro-Hungarian Navy during World War I.
  • C. Georg Rotne
    Georg Rotne is a Danish architect best known for designing the iconic Øresund Bridge linking Denmark and Sweden.
  • D. Anton Mader
    Anton Mader was a German Luftwaffe fighter ace and officer during World War II, known for his leadership roles on the Eastern Front.
  • E. 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.
  • 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_69d381c309b88190af78aa681cf6a4c2 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d5097ecbec8190807c4fcc85662026 completed April 7, 2026, 1:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69d8dca37b0881908ced885d9853bc1b completed April 10, 2026, 11:18 a.m.
Created at: April 6, 2026, 12:24 p.m.