Triple

T15977933
Position Surface form Disambiguated ID Type / Status
Subject Tyrell Wellick E387495 entity
Predicate worksFor P5820 FINISHED
Object E Corp E387493 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: E Corp | Statement: [Tyrell Wellick, worksFor, E Corp]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: E Corp
Context triple: [Tyrell Wellick, worksFor, E Corp]
  • A. E Corp chosen
    E Corp is the powerful, corrupt multinational conglomerate that serves as the main corporate antagonist in the television series "Mr. Robot."
  • B. Taylor Corporation
    Taylor Corporation is a large privately held American printing and marketing communications company founded and owned by businessman Glen Taylor.
  • 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. X Corp.
    X Corp. is Elon Musk’s rebranded parent company of the social media platform X (formerly Twitter), overseeing his broader vision for an “everything app” and related technology ventures.
  • E. Bond Corporation
    Bond Corporation was a major Australian conglomerate best known for its rapid expansion and high-profile investments under businessman Alan Bond during the 1970s and 1980s.
  • 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_69d86da94ccc819083d187f5dc6a123e completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e157521f6c8190a54023b5ee6fc033 completed April 16, 2026, 9:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69fffee76e9481908e74c32cb8263875 completed May 10, 2026, 3:43 a.m.
Created at: April 10, 2026, 4:54 a.m.