Triple

T620630
Position Surface form Disambiguated ID Type / Status
Subject ACM SIGSAC E14503 entity
Predicate organizerOf P123 FINISHED
Object CODASPY
CODASPY is an academic conference focused on research in data and application security and privacy.
 E77758 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: CODASPY | Statement: [ACM SIGSAC, organizerOf, CODASPY]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: CODASPY
Context triple: [ACM SIGSAC, organizerOf, CODASPY]
  • A. Python Consortium
    The Python Consortium was an early industry-backed organization that coordinated corporate support and development for the Python programming language before its role was taken over by the Python Software Foundation.
  • B. Codey Arena
    Codey Arena is a public ice skating and hockey facility in West Orange, New Jersey, known for hosting local teams, events, and recreational skating.
  • C. CSD
    CSD is the renowned Computer Science Department at Carnegie Mellon University, recognized globally for its pioneering research and education in computer science.
  • D. PyPy
    PyPy is a high-performance alternative Python interpreter featuring a Just-In-Time (JIT) compiler designed to significantly speed up the execution of Python programs.
  • E. SPLASH
    SPLASH is a major annual ACM conference focused on programming languages, software engineering, and related systems research.
  • 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: CODASPY
Triple: [ACM SIGSAC, organizerOf, CODASPY]
Generated description
CODASPY is an academic conference focused on research in data and application security and privacy.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: CODASPY
Target entity description: CODASPY is an academic conference focused on research in data and application security and privacy.
  • A. Python Consortium
    The Python Consortium was an early industry-backed organization that coordinated corporate support and development for the Python programming language before its role was taken over by the Python Software Foundation.
  • B. Codey Arena
    Codey Arena is a public ice skating and hockey facility in West Orange, New Jersey, known for hosting local teams, events, and recreational skating.
  • C. CSD
    CSD is the renowned Computer Science Department at Carnegie Mellon University, recognized globally for its pioneering research and education in computer science.
  • D. PyPy
    PyPy is a high-performance alternative Python interpreter featuring a Just-In-Time (JIT) compiler designed to significantly speed up the execution of Python programs.
  • E. SPLASH
    SPLASH is a major annual ACM conference focused on programming languages, software engineering, and related systems research.
  • 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_69a4934b17c881909ace8270e8ddd202 completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a49e3e5d80819096e72e11b533f931 completed March 1, 2026, 8:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69a563c682f88190a2af1087246be4c4 completed March 2, 2026, 10:17 a.m.
NEDg Description generation batch_69a5647f67008190b279703c49d2b231 completed March 2, 2026, 10:20 a.m.
NED2 Entity disambiguation (via description) batch_69a56509b9848190b88286ffb29df287 completed March 2, 2026, 10:23 a.m.
Created at: March 1, 2026, 7:35 p.m.