Triple

T10672712
Position Surface form Disambiguated ID Type / Status
Subject iRobot E251534 entity
Predicate notableProduct P1448 FINISHED
Object Create 2
Create 2 is a programmable mobile robot platform by iRobot, designed primarily for education, research, and hobbyist robotics projects.
 E879756 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: Create 2 | Statement: [iRobot, notableProduct, Create 2]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Create 2
Context triple: [iRobot, notableProduct, Create 2]
  • A. Create
    Create is an American public television multicast network focused on how-to and lifestyle programming, including cooking, travel, home improvement, and crafts.
  • B. CREA
    CREA is a large reference corpus of contemporary Spanish used for linguistic research and language analysis.
  • C. TWO
    TWO is the second installment in the "Four EP" music project series.
  • D. CREI
    CREI is a Barcelona-based research institute specializing in macroeconomics and international economics, closely linked to academic institutions such as Universitat Pompeu Fabra.
  • E. Title Two
    Title Two is a section of the Political Constitution of the United Mexican States that sets out fundamental provisions regarding the organization and powers of the Mexican state.
  • 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: Create 2
Triple: [iRobot, notableProduct, Create 2]
Generated description
Create 2 is a programmable mobile robot platform by iRobot, designed primarily for education, research, and hobbyist robotics projects.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Create 2
Target entity description: Create 2 is a programmable mobile robot platform by iRobot, designed primarily for education, research, and hobbyist robotics projects.
  • A. Create
    Create is an American public television multicast network focused on how-to and lifestyle programming, including cooking, travel, home improvement, and crafts.
  • B. CREA
    CREA is a large reference corpus of contemporary Spanish used for linguistic research and language analysis.
  • C. TWO
    TWO is the second installment in the "Four EP" music project series.
  • D. CREI
    CREI is a Barcelona-based research institute specializing in macroeconomics and international economics, closely linked to academic institutions such as Universitat Pompeu Fabra.
  • E. Title Two
    Title Two is a section of the Political Constitution of the United Mexican States that sets out fundamental provisions regarding the organization and powers of the Mexican state.
  • 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_69d6aa5b0d2881909584b20efc5877f0 completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d6f8659d40819087a2709bd24261ee completed April 9, 2026, 12:52 a.m.
NED1 Entity disambiguation (via context triple) batch_69d9886e3f108190bb6f17d4e2f394ef completed April 10, 2026, 11:31 p.m.
NEDg Description generation batch_69d98cdf6f0c8190a5b926c439c1aca6 completed April 10, 2026, 11:50 p.m.
NED2 Entity disambiguation (via description) batch_69d98d5557548190a22102f1c8105e6f completed April 10, 2026, 11:52 p.m.
Created at: April 8, 2026, 9:09 p.m.