Triple

T9969823
Position Surface form Disambiguated ID Type / Status
Subject Rabbit Hole E196175 entity
Predicate musicBy P1952 FINISHED
Object Anton Sanko
Anton Sanko is an American composer and producer known for his film and television scores, particularly in the horror and thriller genres.
E831764 NE FINISHED

How this triple was built (4 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: [Rabbit Hole, musicBy, Anton Sanko]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Anton Sanko
Context triple: [Rabbit Hole, musicBy, Anton Sanko]
  • A. 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.
  • B. 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).
  • C. Antoniw
    Antoniw is a surname most notably borne by Mick Antoniw, a Welsh Labour politician and Member of the Senedd.
  • D. Martin Obzina
    Martin Obzina was a film art director known for his set design work on classic early 20th-century cinema.
  • E. Ivan Bukholts
    Ivan Bukholts was an 18th-century Russian military officer and explorer credited with leading the early expedition that established the settlement which became the city of Omsk in Siberia.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Anton Sanko
Triple: [Rabbit Hole, musicBy, Anton Sanko]
Generated description
Anton Sanko is an American composer and producer known for his film and television scores, particularly in the horror and thriller genres.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Anton Sanko
Target entity description: Anton Sanko is an American composer and producer known for his film and television scores, particularly in the horror and thriller genres.
  • A. 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.
  • B. 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).
  • C. Antoniw
    Antoniw is a surname most notably borne by Mick Antoniw, a Welsh Labour politician and Member of the Senedd.
  • D. Martin Obzina
    Martin Obzina was a film art director known for his set design work on classic early 20th-century cinema.
  • E. Ivan Bukholts
    Ivan Bukholts was an 18th-century Russian military officer and explorer credited with leading the early expedition that established the settlement which became the city of Omsk in Siberia.
  • F. None of above. chosen

Provenance (5 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_69ca82eea2b88190a0e511d21a31f386 completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cdb7b7ea9881908a56f11e2e446dd0 completed April 2, 2026, 12:26 a.m.
NED1 Entity disambiguation (via context triple) batch_69d23dca14d081909573e91a576921c9 completed April 5, 2026, 10:47 a.m.
NEDg Description generation batch_69d23f63a0d08190a3ace2e4bb58a9ac completed April 5, 2026, 10:54 a.m.
NED2 Entity disambiguation (via description) batch_69d23ff6fdc4819082d8d575a3901ea8 completed April 5, 2026, 10:56 a.m.
Created at: March 30, 2026, 8:48 p.m.