Triple

T15190823
Position Surface form Disambiguated ID Type / Status
Subject The Island E363004 entity
Predicate editor P1954 FINISHED
Object Christian Wagner E197182 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: Christian Wagner | Statement: [The Island, editor, Christian Wagner]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Christian Wagner
Context triple: [The Island, editor, Christian Wagner]
  • A. Christian Wagner chosen
    Christian Wagner is a film editor known for his work on major Hollywood productions, including the superhero film "The Suicide Squad."
  • B. Heinrich Wagner
    Heinrich Wagner was an Austrian linguist and Celtic studies scholar known for his influential research on Celtic languages and dialectology.
  • C. Max Wagner
    Max Wagner was an American character actor known for his prolific work in Hollywood films from the 1920s through the 1970s, often appearing in supporting and uncredited roles.
  • D. Max Wagner
    Max Wagner was an automotive engineer best known for his role in developing Mercedes-Benz’s pioneering Grand Prix racing cars of the 1930s.
  • E. Wolfram von Soden
    Wolfram von Soden was a German Assyriologist renowned for his influential work on Akkadian lexicography and the history of ancient Mesopotamia.
  • 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_69d85a09a39c81908759f23268e2d408 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e0067d55ac8190b7a7fce36e6ddf3c completed April 15, 2026, 9:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69fed32e425c819083f10f947c258a9b completed May 9, 2026, 6:24 a.m.
Created at: April 10, 2026, 3:10 a.m.