Triple

T8447830
Position Surface form Disambiguated ID Type / Status
Subject Metropolis E199719 entity
Predicate notableOrganization P7636 FINISHED
Object LexCorp E403891 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: LexCorp | Statement: [Metropolis, notableOrganization, LexCorp]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: LexCorp
Context triple: [Metropolis, notableOrganization, LexCorp]
  • A. LexCorp chosen
    LexCorp is a powerful and morally dubious multinational conglomerate in the DC Animated Universe, owned and controlled by the supervillain industrialist Lex Luthor.
  • B. The Perot Group
    The Perot Group is a private investment and asset management firm founded by the Perot family that oversees and grows their diverse business interests.
  • C. Shorenstein Company
    Shorenstein Company is a prominent privately held real estate investment and development firm based in San Francisco, known for owning and managing major commercial office properties across the United States.
  • D. E Corp
    E Corp is the powerful, corrupt multinational conglomerate that serves as the main corporate antagonist in the television series "Mr. Robot."
  • E. Goodrich Corporation
    Goodrich Corporation was a major American aerospace and defense company known for manufacturing aircraft systems and components before its acquisition by United Technologies Corporation.
  • 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_69ca83170f9081909cd98f55614c6476 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe44480ec8190b32443a53cd4f943 completed March 31, 2026, 3:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69ce4dc984ec8190910e25f36d538928 completed April 2, 2026, 11:06 a.m.
Created at: March 30, 2026, 6:09 p.m.