Triple

T16106027
Position Surface form Disambiguated ID Type / Status
Subject Saving Face E390739 entity
Predicate musicBy P1952 FINISHED
Object Anton Sanko E831764 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 Sanko | Statement: [Saving Face, musicBy, Anton Sanko]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Anton Sanko
Context triple: [Saving Face, musicBy, Anton Sanko]
  • A. Anton Sanko chosen
    Anton Sanko is an American composer and producer known for his film and television scores, particularly in the horror and thriller genres.
  • B. Anton Romako
    Anton Romako was a 19th-century Austrian painter known for his psychologically intense portraits and innovative, expressive style that anticipated aspects of modern art.
  • C. Andrei Sator
    Andrei Sator is the main antagonist in Christopher Nolan's film "Tenet," a powerful Russian oligarch who orchestrates a time-inverting global catastrophe.
  • D. Anton Valter
    Anton Valter was a physicist associated with the Kharkiv Institute of Physics and Technology, known for his contributions to Soviet-era scientific research.
  • E. Anton Furst
    Anton Furst was an Academy Award–winning British production designer best known for his dark, expressionistic Gotham City designs in Tim Burton’s Batman (1989).
  • 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_69d87f1a8dd881909f1de6ef78849874 completed April 10, 2026, 4:39 a.m.
NER Named-entity recognition batch_69e1ff6d81d081909e1315f4dbfd7369 completed April 17, 2026, 9:37 a.m.
NED1 Entity disambiguation (via context triple) batch_69ffeba1e4c08190a90f5102e0038056 completed May 10, 2026, 2:21 a.m.
Created at: April 10, 2026, 5 a.m.