Triple

T18039690
Position Surface form Disambiguated ID Type / Status
Subject Willa Weston E431611 entity
Predicate employerInFiction P40735 FINISHED
Object Octopus Inc. NE NERFINISHED

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: Octopus Inc. | Statement: [Willa Weston, employerInFiction, Octopus Inc.]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Octopus Inc.
Context triple: [Willa Weston, employerInFiction, Octopus Inc.]
  • A. Octopus Inc. chosen
    Octopus Inc. is a fictional company that serves as the workplace of the character Vince McCain.
  • B. Private Octopus Inc.
    Private Octopus Inc. is a technology company founded by networking expert Christian Huitema, focused on internet privacy, security, and performance solutions.
  • C. Octo
    Octo is a luxury watch line by Bulgari, renowned for its distinctive octagonal case design and ultra-thin high-end timepieces.
  • D. Octan Corporation
    Octan Corporation is the fictional, all-powerful conglomerate in The Lego Movie universe, controlled by the villainous Lord Business and known for its ubiquitous products and corporate dominance.
  • E. Great White Shark Enterprises
    Great White Shark Enterprises is the business and brand management company built around Australian golf legend Greg Norman’s ventures in sports, lifestyle, and related industries.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8b9050fb48190890155145deb0a66 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4bfece6448190b4ba96075715bcef completed April 19, 2026, 11:43 a.m.
Created at: April 10, 2026, 10:25 a.m.