Triple

T9375091
Position Surface form Disambiguated ID Type / Status
Subject The Zombies E225627 entity
Predicate recordLabel P1500 FINISHED
Object Varese Sarabande E68954 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: Varese Sarabande | Statement: [The Zombies, recordLabel, Varese Sarabande]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Varese Sarabande
Context triple: [The Zombies, recordLabel, Varese Sarabande]
  • A. Varèse Sarabande chosen
    Varèse Sarabande is a record label renowned for releasing film and television soundtracks and scores.
  • B. Stockach
    Stockach is a small town in southern Germany’s Baden-Württemberg state, situated near Lake Constance and known historically as a regional administrative and market center.
  • C. Zentropa
    Zentropa is a Danish film production company co-founded by director Lars von Trier, known for producing numerous acclaimed and often provocative European art-house films.
  • D. The Midnight Meat Train
    The Midnight Meat Train is a 2008 horror film, based on a Clive Barker short story, about a photographer who discovers a serial killer operating on New York City’s subway system.
  • E. Satantango
    Satantango is a 1994 Hungarian black-and-white art film directed by Béla Tarr, renowned for its seven-hour runtime, long takes, and bleak, atmospheric portrayal of a collapsing rural community.
  • 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_69ca842d8ee88190aaaa639aa953185d completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd50a8b6f48190b77d93a172c54953 completed April 1, 2026, 5:06 p.m.
NED1 Entity disambiguation (via context triple) batch_69d0f4229c988190be23ccfae8b350ec completed April 4, 2026, 11:21 a.m.
Created at: March 30, 2026, 7:43 p.m.