Triple

T18711656
Position Surface form Disambiguated ID Type / Status
Subject Kevin Flynn E457527 entity
Predicate enemy P4567 FINISHED
Object CLU 2
CLU 2 is the authoritarian, programmatic doppelgänger of Kevin Flynn who serves as the main antagonist in the film "Tron: Legacy."
E1338861 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: CLU 2 | Statement: [Kevin Flynn, enemy, CLU 2]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: CLU 2
Context triple: [Kevin Flynn, enemy, CLU 2]
  • A. CLU
    CLU is a private liberal arts university in Thousand Oaks, California, known for its programs in business, education, and the humanities within a Lutheran tradition.
  • B. CLU
    CLU is an early high-level programming language from the 1970s that pioneered data abstraction, iterators, and exception handling, significantly influencing the design of later languages.
  • C. Clus
    Clus is a historical name for the city of Kolozsvár (modern-day Cluj-Napoca) in Transylvania, Romania.
  • D. CL 9
    CL 9 is a technology company co-founded by Apple co-founder Steve Wozniak, focused on cloud computing and data center services.
  • E. UCLS
    UCLS is a renowned private day school in Chicago affiliated with the University of Chicago, known for its progressive education and strong academic programs from nursery through high school.
  • 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: CLU 2
Triple: [Kevin Flynn, enemy, CLU 2]
Generated description
CLU 2 is the authoritarian, programmatic doppelgänger of Kevin Flynn who serves as the main antagonist in the film "Tron: Legacy."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: CLU 2
Target entity description: CLU 2 is the authoritarian, programmatic doppelgänger of Kevin Flynn who serves as the main antagonist in the film "Tron: Legacy."
  • A. CLU
    CLU is a private liberal arts university in Thousand Oaks, California, known for its programs in business, education, and the humanities within a Lutheran tradition.
  • B. CLU
    CLU is an early high-level programming language from the 1970s that pioneered data abstraction, iterators, and exception handling, significantly influencing the design of later languages.
  • C. Clus
    Clus is a historical name for the city of Kolozsvár (modern-day Cluj-Napoca) in Transylvania, Romania.
  • D. CL 9
    CL 9 is a technology company co-founded by Apple co-founder Steve Wozniak, focused on cloud computing and data center services.
  • E. UCLS
    UCLS is a renowned private day school in Chicago affiliated with the University of Chicago, known for its progressive education and strong academic programs from nursery through high school.
  • 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_69d8d392aad081909fe31aa03e6e97d1 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e5671c53988190bfc132c853cebd02 completed April 19, 2026, 11:37 p.m.
NED1 Entity disambiguation (via context triple) batch_6a052b3f247c8190922c4ce9f67301a0 completed May 14, 2026, 1:54 a.m.
NEDg Description generation batch_6a052c6373088190a81e53963dac9c6f completed May 14, 2026, 1:58 a.m.
NED2 Entity disambiguation (via description) batch_6a052d6f1f8081908810e99dff28b586 completed May 14, 2026, 2:03 a.m.
Created at: April 10, 2026, 11:50 a.m.