Triple
T574468
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SIGPLAN |
E13731
|
entity |
| Predicate | sponsor |
P67
|
FINISHED |
| Object |
PEPM
PEPM (Partial Evaluation and Program Manipulation) is an ACM SIGPLAN-sponsored symposium focused on research in program analysis, transformation, and generation techniques.
|
E71963
|
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: PEPM | Statement: [SIGPLAN, sponsor, PEPM]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: PEPM Context triple: [SIGPLAN, sponsor, PEPM]
-
A.
PEPs
PEPs are formal design documents that propose and describe new features, processes, or changes for the Python programming language and its community.
-
B.
PEP 0
PEP 0 is the index document that lists and tracks the status of all Python Enhancement Proposals (PEPs) in the Python community.
-
C.
PEG
PEG is the stock ticker symbol for Public Service Enterprise Group, a major U.S. energy company primarily involved in regulated electric and gas utility operations and power generation.
-
D.
PEP 1
PEP 1 is the foundational Python Enhancement Proposal that defines the purpose, structure, and workflow for all other PEPs in the Python community process.
-
E.
MPEA
MPEA is the commonly used abbreviation for the Metropolitan Pier and Exposition Authority, the public agency that owns and operates Chicago’s McCormick Place convention center and Navy Pier.
- 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: PEPM Triple: [SIGPLAN, sponsor, PEPM]
Generated description
PEPM (Partial Evaluation and Program Manipulation) is an ACM SIGPLAN-sponsored symposium focused on research in program analysis, transformation, and generation techniques.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: PEPM Target entity description: PEPM (Partial Evaluation and Program Manipulation) is an ACM SIGPLAN-sponsored symposium focused on research in program analysis, transformation, and generation techniques.
-
A.
PEPs
PEPs are formal design documents that propose and describe new features, processes, or changes for the Python programming language and its community.
-
B.
PEP 0
PEP 0 is the index document that lists and tracks the status of all Python Enhancement Proposals (PEPs) in the Python community.
-
C.
PEG
PEG is the stock ticker symbol for Public Service Enterprise Group, a major U.S. energy company primarily involved in regulated electric and gas utility operations and power generation.
-
D.
PEP 1
PEP 1 is the foundational Python Enhancement Proposal that defines the purpose, structure, and workflow for all other PEPs in the Python community process.
-
E.
MPEA
MPEA is the commonly used abbreviation for the Metropolitan Pier and Exposition Authority, the public agency that owns and operates Chicago’s McCormick Place convention center and Navy Pier.
- 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_69a4933fa4d88190a7949cc83c08c5c1 |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a49b4c23548190a3b883239c7c78c8 |
completed | March 1, 2026, 8:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a4ff4c3df48190a886a8d3c633d417 |
completed | March 2, 2026, 3:09 a.m. |
| NEDg | Description generation | batch_69a4ffcad6e08190938018ade5bc5d67 |
completed | March 2, 2026, 3:11 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a5001de9c481909d43c001028c922c |
completed | March 2, 2026, 3:12 a.m. |
Created at: March 1, 2026, 7:33 p.m.