Triple

T18711712
Position Surface form Disambiguated ID Type / Status
Subject Clu E457528 entity
Predicate hasVehicle P7735 FINISHED
Object light cycle
The light cycle is a futuristic, high-speed motorcycle from the Tron universe that leaves solid walls of light in its wake, used in deadly arena games.
E1338864 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: light cycle | Statement: [Clu, hasVehicle, light cycle]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: light cycle
Context triple: [Clu, hasVehicle, light cycle]
  • A. Light
    Light was a litigant in the U.S. Supreme Court case Light v. United States, which addressed federal authority over public lands and grazing rights.
  • B. Light
    "Light" is an emotional closing number from the rock musical *Next to Normal* that reflects themes of hope and resilience amid mental illness and family struggle.
  • C. Light
    Light is a Brazilian electric power and public services company historically linked to São Paulo’s tramway and energy infrastructure.
  • D. Light
    "Light" is a novel by Swedish author Torgny Lindgren, known for its lyrical prose and exploration of human existence and morality in a stark rural setting.
  • E. Light
    "Light" is a critically acclaimed science fiction novel by M. John Harrison that intertwines space opera, quantum physics, and psychological exploration across multiple timelines.
  • 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: light cycle
Triple: [Clu, hasVehicle, light cycle]
Generated description
The light cycle is a futuristic, high-speed motorcycle from the Tron universe that leaves solid walls of light in its wake, used in deadly arena games.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: light cycle
Target entity description: The light cycle is a futuristic, high-speed motorcycle from the Tron universe that leaves solid walls of light in its wake, used in deadly arena games.
  • A. Light
    Light was a litigant in the U.S. Supreme Court case Light v. United States, which addressed federal authority over public lands and grazing rights.
  • B. Light
    Light is a Brazilian electric power and public services company historically linked to São Paulo’s tramway and energy infrastructure.
  • C. Light
    "Light" is an emotional closing number from the rock musical *Next to Normal* that reflects themes of hope and resilience amid mental illness and family struggle.
  • D. Light
    "Light" is a novel by Swedish author Torgny Lindgren, known for its lyrical prose and exploration of human existence and morality in a stark rural setting.
  • E. Light
    "Light" is a critically acclaimed science fiction novel by M. John Harrison that intertwines space opera, quantum physics, and psychological exploration across multiple timelines.
  • 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.