Triple

T9971967
Position Surface form Disambiguated ID Type / Status
Subject Bernhard Grzimek E196228 entity
Predicate awardReceived P11 FINISHED
Object Goldene Kamera E253263 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: Goldene Kamera | Statement: [Bernhard Grzimek, awardReceived, Goldene Kamera]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Goldene Kamera
Context triple: [Bernhard Grzimek, awardReceived, Goldene Kamera]
  • A. Goldene Kamera chosen
    The Goldene Kamera is a prestigious German film and television award presented annually by the magazine Hörzu to honor outstanding achievements in entertainment.
  • B. Spotlight
    Spotlight is Apple’s system-wide search feature on macOS and iOS that quickly locates files, apps, and information across a device and the web.
  • C. Spotlight
    Spotlight is a curated section of the Sundance Film Festival that showcases standout films from other festivals and notable works by established filmmakers.
  • D. Spotlight
    Spotlight is a curated program within the New York Film Festival that showcases notable new films, special screenings, and high-profile premieres outside the main competition.
  • E. Spotlight
    Spotlight is Snapchat’s short-form video platform that showcases user-generated content in a TikTok-style, vertically scrolling feed.
  • 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_69ca82eea2b88190a0e511d21a31f386 completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cdb7bb03688190a3f4fc1988b8fafa completed April 2, 2026, 12:26 a.m.
NED1 Entity disambiguation (via context triple) batch_69d23dd3e47c819095fef68b9939ec19 completed April 5, 2026, 10:47 a.m.
Created at: March 30, 2026, 8:48 p.m.