Triple

T840115
Position Surface form Disambiguated ID Type / Status
Subject Wellington E18156 entity
Predicate hasLandmark P105 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: [Wellington, hasLandmark, Weta Workshop]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Weta Workshop
Context triple: [Wellington, hasLandmark, 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. 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.
  • D. Lucasfilm
    Lucasfilm is a renowned American film and television production company best known for creating the Star Wars and Indiana Jones franchises.
  • E. Tiger Moth Productions
    Tiger Moth Productions is a film production company best known for its involvement in the acclaimed romantic war drama "The English Patient."
  • 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_69a49389f44881909a608fb27d89f247 completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4abe5d7848190b15e0cb343b6f4ba completed March 1, 2026, 9:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69a7929860f081909c86f84d7cfe6acb completed March 4, 2026, 2:02 a.m.
Created at: March 1, 2026, 7:38 p.m.