Triple

T15357534
Position Surface form Disambiguated ID Type / Status
Subject Micro Managers E367200 entity
Predicate faction P2942 FINISHED
Object Octan Corporation E367202 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: Octan Corporation | Statement: [Micro Managers, faction, Octan Corporation]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Octan Corporation
Context triple: [Micro Managers, faction, Octan Corporation]
  • A. Octan Corporation chosen
    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.
  • B. Arakwal Corporation
    Arakwal Corporation is an Aboriginal-owned organization representing the interests, land rights, and cultural heritage of the Arakwal people in Australia.
  • C. Marcus Corporation
    Marcus Corporation is a U.S.-based company best known for its movie theatre and hospitality businesses, including operating cinema chains and hotels.
  • D. OCT Group
    OCT Group is a major Chinese state-owned enterprise best known for developing and operating large-scale cultural tourism, theme parks, and real estate projects across China.
  • E. Delcan Corporation
    Delcan Corporation is an engineering and design firm known for its work on major infrastructure projects, including prominent bridges and transportation systems.
  • 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_69d85a1483788190ad93c2748e8af34b completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e03e2d4934819097fc63603964217c completed April 16, 2026, 1:41 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff1343862481908962dfe0ab946b97 completed May 9, 2026, 10:58 a.m.
Created at: April 10, 2026, 3:18 a.m.