Triple

T35053651
Position Surface form Disambiguated ID Type / Status
Subject Emotion Engine E1011399 entity
Predicate memoryControllerFor P39135 FINISHED
Object RDRAM
RDRAM (Rambus Dynamic Random-Access Memory) is a high-bandwidth, low-latency type of DRAM once used in performance-critical systems such as the PlayStation 2.
 E2124995 NE FINISHED

How this triple was built (3 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: RDRAM | Statement: [Emotion Engine, memoryControllerFor, RDRAM]
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: RDRAM
Triple: [Emotion Engine, memoryControllerFor, RDRAM]
Generated description
RDRAM (Rambus Dynamic Random-Access Memory) is a high-bandwidth, low-latency type of DRAM once used in performance-critical systems such as the PlayStation 2.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: memoryControllerFor
Context triple: [Emotion Engine, memoryControllerFor, RDRAM]
  • A. memoryController
    Indicates a relationship where one entity manages, coordinates, or regulates access to memory resources for another entity or system.
  • B. memoryInterface
    Indicates that one entity serves as an interface or access point for interacting with, reading from, or writing to another entity’s memory.
  • C. integratedMemoryController chosen
    Indicates that a memory controller is built directly into another component (such as a processor or chipset) rather than existing as a separate, external unit.
  • D. memoryConfigurations
    Indicates how memory resources are arranged, allocated, or structured within a system or component.
  • E. memoryType
    Indicates the specific category or kind of memory associated with an entity or process.
  • F. None of above.

Provenance (6 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_69f76dcfdda48190b1ebae5da8b54f12 completed May 3, 2026, 3:46 p.m.
NER Named-entity recognition batch_69f78ce78b508190955848e133398dc8 completed May 3, 2026, 5:59 p.m.
NED1 Entity disambiguation (via context triple) batch_6a37c637b0c08190a4e9a3ced4c62790 completed June 21, 2026, 11:08 a.m.
NEDg Description generation batch_6a37c6e970f48190b35c179e766c58cc completed June 21, 2026, 11:11 a.m.
NED2 Entity disambiguation (via description) batch_6a37cad6f71c81908794928c0e20ab20 completed June 21, 2026, 11:28 a.m.
PD Predicate disambiguation batch_69f78b8f4cc08190b49fccd798cb25d7 completed May 3, 2026, 5:53 p.m.
Created at: May 3, 2026, 4:01 p.m.