Triple
T2321022
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | PEP 572 |
E51179
|
entity |
| Predicate | author |
P4
|
FINISHED |
| Object |
Chris Angelico
Chris Angelico is a Python developer and community contributor known for his involvement in Python Enhancement Proposals, including co-authoring PEP 572.
|
E256162
|
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: Chris Angelico | Statement: [PEP 572, author, Chris Angelico]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chris Angelico Context triple: [PEP 572, author, Chris Angelico]
-
A.
Matthew C. Brown
Matthew C. Brown is a film producer known for his work on the horror movie "Spectral."
-
B.
Eric Evans
Eric Evans is a software engineer and thought leader best known for originating and popularizing the concept of Domain-Driven Design in enterprise software development.
-
C.
Mark Lamping
Mark Lamping is an American sports executive known for leading the business operations of major professional teams, including serving as president of the NFL’s Jacksonville Jaguars.
-
D.
Robert Kern
Robert Kern was an American film editor active during Hollywood’s classic studio era, known for his work on numerous prominent MGM productions.
-
E.
Trevor Perrin
Trevor Perrin is a cryptographer and software engineer best known for creating the Noise protocol framework and co-designing the Signal Protocol used in secure messaging.
- 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: Chris Angelico Triple: [PEP 572, author, Chris Angelico]
Generated description
Chris Angelico is a Python developer and community contributor known for his involvement in Python Enhancement Proposals, including co-authoring PEP 572.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Chris Angelico Target entity description: Chris Angelico is a Python developer and community contributor known for his involvement in Python Enhancement Proposals, including co-authoring PEP 572.
-
A.
Matthew C. Brown
Matthew C. Brown is a film producer known for his work on the horror movie "Spectral."
-
B.
Eric Evans
Eric Evans is a software engineer and thought leader best known for originating and popularizing the concept of Domain-Driven Design in enterprise software development.
-
C.
Mark Lamping
Mark Lamping is an American sports executive known for leading the business operations of major professional teams, including serving as president of the NFL’s Jacksonville Jaguars.
-
D.
Robert Kern
Robert Kern was an American film editor active during Hollywood’s classic studio era, known for his work on numerous prominent MGM productions.
-
E.
Trevor Perrin
Trevor Perrin is a cryptographer and software engineer best known for creating the Noise protocol framework and co-designing the Signal Protocol used in secure messaging.
- 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_69a88b074b908190ae983dbca7757d88 |
completed | March 4, 2026, 7:41 p.m. |
| NER | Named-entity recognition | batch_69abc632474c8190972b4611a3a4ff8f |
completed | March 7, 2026, 6:31 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae896911908190b53954dbf854cc18 |
completed | March 9, 2026, 8:48 a.m. |
| NEDg | Description generation | batch_69ae8d2dcc8081908d4274b2287ff2b8 |
completed | March 9, 2026, 9:04 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ae8d786a648190acf0a14e0d4a120c |
completed | March 9, 2026, 9:06 a.m. |
Created at: March 4, 2026, 7:49 p.m.