Triple

T22838318
Position Surface form Disambiguated ID Type / Status
Subject Fred Schepisi E566006 entity
Predicate notableWork P4 FINISHED
Object Barbarosa NE NERFINISHED

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: Barbarosa | Statement: [Fred Schepisi, notableWork, Barbarosa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Barbarosa
Context triple: [Fred Schepisi, notableWork, Barbarosa]
  • A. Barbarosa chosen
    Barbarosa is a 1982 Western film, written by William D. Wittliff and starring Willie Nelson and Gary Busey, known for its blend of folklore, moral ambiguity, and character-driven storytelling.
  • B. Etzel
    Etzel is the powerful king of the Huns in the medieval German epic "Nibelungenlied," a figure based on the historical Attila the Hun.
  • C. Etzel
    Etzel was a Zionist paramilitary organization that operated in Mandatory Palestine before the establishment of the State of Israel.
  • D. Barbarossa the Elder
    Barbarossa the Elder, better known as Oruç Reis, was an early 16th-century Ottoman corsair and admiral who helped establish Ottoman naval dominance in the Mediterranean alongside his younger brother Hayreddin Barbarossa.
  • E. Günther
    Günther is a German masculine given name traditionally associated with figures of Germanic origin and culture.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e245869e188190a196584f36e682da completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f17e8244dc819089c0a7525fb512ab completed April 29, 2026, 3:44 a.m.
Created at: April 17, 2026, 3:35 p.m.