Triple

T17095366
Position Surface form Disambiguated ID Type / Status
Subject Whiterose E414833 entity
Predicate associatedWith P37 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: [Whiterose, associatedWith, E Corp]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: E Corp
Context triple: [Whiterose, associatedWith, 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. Far Corporation
    Far Corporation was a German-based studio supergroup formed by producer Frank Farian, best known for its rock-oriented cover of Led Zeppelin’s “Stairway to Heaven” in the 1980s.
  • D. 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.
  • E. 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.
  • 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_69d886cfc8e88190b05ba466edd35591 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3dbfc9158819081689d3d594a1908 completed April 18, 2026, 7:31 p.m.
NED1 Entity disambiguation (via context triple) batch_6a012eedfd7c8190b267dedd403f5f2b completed May 11, 2026, 1:20 a.m.
Created at: April 10, 2026, 5:35 a.m.