Triple

T4505958
Position Surface form Disambiguated ID Type / Status
Subject Ben 10 E101331 entity
Predicate hasCharacter P2308 FINISHED
Object XLR8
XLR8 is a velociraptor-like alien from the Ben 10 franchise known for its incredible super-speed and agility.
 E447772 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: XLR8 | Statement: [Ben 10, hasCharacter, XLR8]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: XLR8
Context triple: [Ben 10, hasCharacter, XLR8]
  • A. XLR-V
    The XLR-V is the high-performance, supercharged V-series variant of Cadillac’s XLR luxury roadster.
  • B. Xelb
    Xelb is the former Arabic name for the Portuguese city of Silves, a historically significant town in the Algarve region.
  • C. XRX
    XRX is the stock ticker symbol for Xerox Holdings Corporation, an American company known for its document management technologies and printing solutions.
  • D. l’X
    l’X is the traditional nickname of École Polytechnique, France’s elite engineering grande école renowned for its rigorous scientific education and prestigious alumni.
  • E. LX
    LX is the second-generation Holden Torana series produced in the mid-1970s, notable for introducing the A9X performance package and being a popular Australian mid-size car in both road and racing forms.
  • 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: XLR8
Triple: [Ben 10, hasCharacter, XLR8]
Generated description
XLR8 is a velociraptor-like alien from the Ben 10 franchise known for its incredible super-speed and agility.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: XLR8
Target entity description: XLR8 is a velociraptor-like alien from the Ben 10 franchise known for its incredible super-speed and agility.
  • A. XLR-V
    The XLR-V is the high-performance, supercharged V-series variant of Cadillac’s XLR luxury roadster.
  • B. Xelb
    Xelb is the former Arabic name for the Portuguese city of Silves, a historically significant town in the Algarve region.
  • C. XRX
    XRX is the stock ticker symbol for Xerox Holdings Corporation, an American company known for its document management technologies and printing solutions.
  • D. l’X
    l’X is the traditional nickname of École Polytechnique, France’s elite engineering grande école renowned for its rigorous scientific education and prestigious alumni.
  • E. LX
    LX is the second-generation Holden Torana series produced in the mid-1970s, notable for introducing the A9X performance package and being a popular Australian mid-size car in both road and racing forms.
  • 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_69bd43d175248190894dc58b5b395c26 completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd56ff78748190bb667e70c69dc817 completed March 20, 2026, 2:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69bd6f9961ac8190954b2d352d2319fb completed March 20, 2026, 4:02 p.m.
NEDg Description generation batch_69bd705e0e848190a73e7ddb569f0e37 completed March 20, 2026, 4:05 p.m.
NED2 Entity disambiguation (via description) batch_69bd71b41664819091bd4f75d4634943 completed March 20, 2026, 4:11 p.m.
Created at: March 20, 2026, 1:01 p.m.