Triple

T10345690
Position Surface form Disambiguated ID Type / Status
Subject Tania Rodger E243738 entity
Predicate employer P7 FINISHED
Object Weta Workshop E46702 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: Weta Workshop | Statement: [Tania Rodger, employer, Weta Workshop]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Weta Workshop
Context triple: [Tania Rodger, employer, Weta Workshop]
  • A. Weta Workshop chosen
    Weta Workshop is a New Zealand-based special effects and prop design studio renowned for its groundbreaking work on major fantasy and science-fiction films.
  • B. Weta Digital
    Weta Digital is a renowned New Zealand-based visual effects studio best known for its groundbreaking CGI work on major films such as The Lord of the Rings trilogy, Avatar, and the Planet of the Apes series.
  • C. Cinesite
    Cinesite is a visual effects and animation studio known for producing and contributing to major feature films and animated projects.
  • D. Rhythm & Hues Studios
    Rhythm & Hues Studios is an American visual effects and animation company renowned for its work on major Hollywood films and for winning multiple Academy Awards for Best Visual Effects.
  • E. Industrial Light & Magic
    Industrial Light & Magic is a pioneering visual effects company renowned for revolutionizing special effects in blockbuster films and advancing cutting-edge digital filmmaking technologies.
  • 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_69d381b22b8c8190aaed476be5f872a9 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4e923e3d08190971073ce41ff860f completed April 7, 2026, 11:23 a.m.
NED1 Entity disambiguation (via context triple) batch_69d9337978e8819087d0566df9e5aabd completed April 10, 2026, 5:29 p.m.
Created at: April 6, 2026, 11:56 a.m.