Triple

T2495856
Position Surface form Disambiguated ID Type / Status
Subject Call of Duty E52150 entity
Predicate notableEngine P4856 FINISHED
Object IW engine E266240 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: IW engine | Statement: [Call of Duty, notableEngine, IW engine]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: IW engine
Context triple: [Call of Duty, notableEngine, IW engine]
  • A. IW engine chosen
    The IW engine is a proprietary game engine developed by Infinity Ward and used across multiple Call of Duty titles, including those created by Treyarch.
  • B. IW
    IW is the common abbreviation for Infinity Ward, a prominent video game developer best known for creating the Call of Duty franchise.
  • C. BI Engine
    BI Engine is an in-memory analysis service for Google BigQuery that accelerates and optimizes interactive business intelligence and dashboard queries.
  • D. FilmEngine
    FilmEngine is an American film production company known for developing and producing feature films such as the crime thriller "Lucky Number Slevin."
  • E. IAS machine
    The IAS machine was an early electronic stored-program computer designed by John von Neumann and his colleagues at the Institute for Advanced Study, serving as a prototype for many subsequent computer architectures.
  • 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_69ab4955111c8190835bf619adec21ff completed March 6, 2026, 9:38 p.m.
NER Named-entity recognition batch_69abd1abd3688190b5874249e1e333bc completed March 7, 2026, 7:20 a.m.
NED1 Entity disambiguation (via context triple) batch_69af2b8789c88190b0300af1260eb9bd completed March 9, 2026, 8:20 p.m.
Created at: March 6, 2026, 9:45 p.m.