Triple

T15793972
Position Surface form Disambiguated ID Type / Status
Subject Deep Blue E382927 entity
Predicate inspiredBy P9 FINISHED
Object ChipTest
ChipTest was an experimental IBM chess-playing computer that served as an important precursor to the later Deep Thought and Deep Blue systems.
 E1177641 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: ChipTest | Statement: [Deep Blue, inspiredBy, ChipTest]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: ChipTest
Context triple: [Deep Blue, inspiredBy, ChipTest]
  • A. Tessent
    Tessent is a suite of design-for-test and yield analysis tools from Mentor Graphics (now Siemens EDA) used to improve the testability and reliability of integrated circuits.
  • B. Teston
    Teston is a small village in Kent, England, known for its rural character and location near the River Medway.
  • C. Chipwi
    Chipwi is a town in northern Myanmar that serves as a local administrative and trading center within Kachin State.
  • D. CHIP
    CHIP is a U.S. government program that provides low-cost health coverage to children in families that earn too much to qualify for Medicaid but cannot afford private insurance.
  • E. Chip
    Chip is a British rapper and songwriter known for his influential role in the UK grime and hip-hop scenes.
  • 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: ChipTest
Triple: [Deep Blue, inspiredBy, ChipTest]
Generated description
ChipTest was an experimental IBM chess-playing computer that served as an important precursor to the later Deep Thought and Deep Blue systems.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: ChipTest
Target entity description: ChipTest was an experimental IBM chess-playing computer that served as an important precursor to the later Deep Thought and Deep Blue systems.
  • A. Tessent
    Tessent is a suite of design-for-test and yield analysis tools from Mentor Graphics (now Siemens EDA) used to improve the testability and reliability of integrated circuits.
  • B. Teston
    Teston is a small village in Kent, England, known for its rural character and location near the River Medway.
  • C. Chipwi
    Chipwi is a town in northern Myanmar that serves as a local administrative and trading center within Kachin State.
  • D. CHIP
    CHIP is a U.S. government program that provides low-cost health coverage to children in families that earn too much to qualify for Medicaid but cannot afford private insurance.
  • E. Chip
    Chip is a British rapper and songwriter known for his influential role in the UK grime and hip-hop scenes.
  • 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_69d86da16e188190b89af699f1ed0bfe completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e0b4db55308190875a04f982c44cea completed April 16, 2026, 10:07 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff90ab23048190a6d976c9a3143647 completed May 9, 2026, 7:53 p.m.
NEDg Description generation batch_69ff93c259e481908d419c101512c140 completed May 9, 2026, 8:06 p.m.
NED2 Entity disambiguation (via description) batch_69ff9458a1388190bfb2b1ecbbf5ebdd completed May 9, 2026, 8:08 p.m.
Created at: April 10, 2026, 4:48 a.m.