Triple

T10345699
Position Surface form Disambiguated ID Type / Status
Subject Tania Rodger E243738 entity
Predicate memberOf P10 FINISHED
Object Weta Group 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 Group | Statement: [Tania Rodger, memberOf, Weta Group]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Weta Group
Context triple: [Tania Rodger, memberOf, Weta Group]
  • 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. Eon Productions
    Eon Productions is a British film production company best known for producing the long-running James Bond movie franchise.
  • 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. Annapurna Studios
    Annapurna Studios is a prominent Indian film production and post-production company based in Hyderabad, widely recognized for its role in shaping Telugu cinema.
  • 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_69d94aec37288190bd9060ba39ec4df2 completed April 10, 2026, 7:09 p.m.
Created at: April 6, 2026, 11:56 a.m.