Triple

T18300684
Position Surface form Disambiguated ID Type / Status
Subject Tianshou E438349 entity
Predicate supportsAlgorithm P203 FINISHED
Object C51
C51 is a distributional deep reinforcement learning algorithm that models the value function as a categorical probability distribution over discrete return values.
 E1317484 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: C51 | Statement: [Tianshou, supportsAlgorithm, C51]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: C51
Context triple: [Tianshou, supportsAlgorithm, C51]
  • A. C11
    C11 is a London bus route that operates in northwest London, connecting areas such as Archway, Hampstead, and Brent Cross.
  • B. Keil
    Keil is a German-origin surname borne by various notable individuals, including Portuguese composer Alfredo Keil.
  • C. LPC2E
    LPC2E is a French research laboratory specializing in the physics and chemistry of the environment and space.
  • D. CPC6128
    The CPC6128 is an 8-bit home computer released by Amstrad in the mid-1980s, notable for its built-in 3-inch floppy disk drive and 128 KB of RAM.
  • E. C-SKY
    C-SKY is a family of 32-bit embedded processor architectures developed in China, commonly used in low-power and cost-sensitive applications.
  • 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: C51
Triple: [Tianshou, supportsAlgorithm, C51]
Generated description
C51 is a distributional deep reinforcement learning algorithm that models the value function as a categorical probability distribution over discrete return values.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: C51
Target entity description: C51 is a distributional deep reinforcement learning algorithm that models the value function as a categorical probability distribution over discrete return values.
  • A. C11
    C11 is a London bus route that operates in northwest London, connecting areas such as Archway, Hampstead, and Brent Cross.
  • B. Keil
    Keil is a German-origin surname borne by various notable individuals, including Portuguese composer Alfredo Keil.
  • C. LPC2E
    LPC2E is a French research laboratory specializing in the physics and chemistry of the environment and space.
  • D. CPC6128
    The CPC6128 is an 8-bit home computer released by Amstrad in the mid-1980s, notable for its built-in 3-inch floppy disk drive and 128 KB of RAM.
  • E. C-SKY
    C-SKY is a family of 32-bit embedded processor architectures developed in China, commonly used in low-power and cost-sensitive applications.
  • 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_69d8b915e3e881909125d760c15d0c29 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e5017f63dc819083a675d570620f2f completed April 19, 2026, 4:23 p.m.
NED1 Entity disambiguation (via context triple) batch_6a03bb5e1fb481908a0b98ea130eda71 completed May 12, 2026, 11:44 p.m.
NEDg Description generation batch_6a03bdb3fb3c819095192ac49e809f55 completed May 12, 2026, 11:54 p.m.
NED2 Entity disambiguation (via description) batch_6a03c193a0a08190b33d80d45f3ed0f0 completed May 13, 2026, 12:10 a.m.
Created at: April 10, 2026, 10:35 a.m.