Triple

T8535111
Position Surface form Disambiguated ID Type / Status
Subject Nolan Ross E202058 entity
Predicate associatedWithCompany P629 FINISHED
Object Nolcorp
Nolcorp is a powerful fictional tech corporation in the TV series "Revenge," founded and led by the brilliant hacker-entrepreneur Nolan Ross.
 E740613 NE FINISHED

How this triple was built (4 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: Nolcorp | Statement: [Nolan Ross, associatedWithCompany, Nolcorp]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Nolcorp
Context triple: [Nolan Ross, associatedWithCompany, Nolcorp]
  • A. Alticor
    Alticor is a privately held American company that serves as the corporate parent of the direct-selling giant Amway and related businesses.
  • B. The Null Corporation
    The Null Corporation is the independent record label founded by Trent Reznor to release Nine Inch Nails’ music and related projects outside the traditional major-label system.
  • C. Noxon
    Noxon is a surname most notably associated with American television writer, producer, and director Marti Noxon.
  • D. Korvel
    Korvel is a residential neighborhood in the Dutch city of Tilburg, known for its mix of urban housing, local shops, and multicultural character.
  • E. Dosco
    Dosco is an informal term for an alumnus of The Doon School, a prestigious all-boys boarding school in Dehradun, India.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Nolcorp
Triple: [Nolan Ross, associatedWithCompany, Nolcorp]
Generated description
Nolcorp is a powerful fictional tech corporation in the TV series "Revenge," founded and led by the brilliant hacker-entrepreneur Nolan Ross.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Nolcorp
Target entity description: Nolcorp is a powerful fictional tech corporation in the TV series "Revenge," founded and led by the brilliant hacker-entrepreneur Nolan Ross.
  • A. Alticor
    Alticor is a privately held American company that serves as the corporate parent of the direct-selling giant Amway and related businesses.
  • B. The Null Corporation
    The Null Corporation is the independent record label founded by Trent Reznor to release Nine Inch Nails’ music and related projects outside the traditional major-label system.
  • C. Noxon
    Noxon is a surname most notably associated with American television writer, producer, and director Marti Noxon.
  • D. Korvel
    Korvel is a residential neighborhood in the Dutch city of Tilburg, known for its mix of urban housing, local shops, and multicultural character.
  • E. Dosco
    Dosco is an informal term for an alumnus of The Doon School, a prestigious all-boys boarding school in Dehradun, India.
  • F. None of above. chosen

Provenance (5 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_69ca832355b08190b8b6a4ab4a4a3554 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe6a295c88190a432a060ee73f04e completed March 31, 2026, 3:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69ce6d8332cc819083c86e0dc58bcc37 completed April 2, 2026, 1:22 p.m.
NEDg Description generation batch_69ce6f02fabc819093b95e0d318c5649 completed April 2, 2026, 1:28 p.m.
NED2 Entity disambiguation (via description) batch_69ce6f9b12148190be55b3f5f2b518d9 completed April 2, 2026, 1:31 p.m.
Created at: March 30, 2026, 6:17 p.m.