Triple

T12120516
Position Surface form Disambiguated ID Type / Status
Subject Lord of War E288680 entity
Predicate producer P490 FINISHED
Object William Horberg E235591 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: William Horberg | Statement: [Lord of War, producer, William Horberg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: William Horberg
Context triple: [Lord of War, producer, William Horberg]
  • A. William Horberg chosen
    William Horberg is an American film and television producer known for working on acclaimed projects such as "The Talented Mr. Ripley," "Cold Mountain," and various independent and studio films.
  • B. Rudolph Pariser
    Rudolph Pariser is an American physical and polymer chemist best known for co-developing the Pariser–Parr–Pople (PPP) method in quantum chemistry.
  • C. Joseph Mayseder
    Joseph Mayseder was a prominent 19th-century Austrian violinist, composer, and virtuoso known for his influential role in Vienna’s musical life.
  • D. Victor Franke
    Victor Franke was a German military officer best known for leading colonial forces in German South-West Africa during the early 20th century.
  • E. Louis Wolheim
    Louis Wolheim was an American character actor of the silent and early sound era, best known for his rugged features and memorable roles in films such as "All Quiet on the Western Front."
  • 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_69d6ab4b5e4c81909950b17151eb0951 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d91577a03c81909add7a5d7324a648 completed April 10, 2026, 3:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69f65e9868ec81909efd7e142d5fb090 completed May 2, 2026, 8:29 p.m.
Created at: April 8, 2026, 9:49 p.m.