Triple

T16404189
Position Surface form Disambiguated ID Type / Status
Subject Ben van Berkel E398380 entity
Predicate notableWork P4 FINISHED
Object Möbius House E1211709 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: Möbius House | Statement: [Ben van Berkel, notableWork, Möbius House]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Möbius House
Context triple: [Ben van Berkel, notableWork, Möbius House]
  • A. Möbius House chosen
    Möbius House is an innovative contemporary residence in the Netherlands known for its continuous loop-like design that blurs distinctions between interior and exterior spaces.
  • B. Mouse House
    Mouse House is a Bronx Zoo exhibit dedicated to showcasing a diverse collection of small rodents and other tiny mammals in naturalistic habitats.
  • C. The Molly House
    The Molly House is a popular LGBTQ+-friendly bar and pub in Manchester’s Gay Village, known for its relaxed atmosphere, craft drinks, and eclectic décor.
  • D. Picturehouse
    Picturehouse is an American film distribution company known for releasing independent and specialty films.
  • E. Picturehouse
    Picturehouse is a UK-based chain of boutique cinemas known for screening independent, arthouse, and mainstream films in distinctive, community-focused venues.
  • 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_69d87f2950248190bc8ad9b9bebdc8c8 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e327d1f16481909adb19dab86dcc72 completed April 18, 2026, 6:42 a.m.
NED1 Entity disambiguation (via context triple) batch_6a00457baed48190b559af7c0ac2711d completed May 10, 2026, 8:44 a.m.
Created at: April 10, 2026, 5:09 a.m.