Triple
T21886666
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Reitz |
E540422
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object |
Kenneth Reitz
Kenneth Reitz is a software engineer best known for creating the popular Python HTTP library Requests and for his contributions to the Python community.
|
E1506852
|
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: Kenneth Reitz | Statement: [Reitz, hasNotableBearer, Kenneth Reitz]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kenneth Reitz Context triple: [Reitz, hasNotableBearer, Kenneth Reitz]
-
A.
Wes McKinney
Wes McKinney is an American software developer and author best known as the original creator of the Python data analysis library pandas and a key figure in the open-source data science ecosystem.
-
B.
Chris Richardson
Chris Richardson is an American singer and songwriter best known as a finalist on the sixth season of "American Idol."
-
C.
Alex Heineman
Alex Heineman is a film producer known for his work on the historical thriller "Operation Finale" and other feature films.
-
D.
Steven Bethard
Steven Bethard is a computer scientist and natural language processing researcher known for his work on temporal information extraction, semantic role labeling, and clinical NLP.
-
E.
Marc-Andre Lemburg
Marc-Andre Lemburg is a German software developer and long-time Python core contributor known for his work on Python’s Unicode support, packaging standards, and leadership in the Python community.
- 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: Kenneth Reitz Triple: [Reitz, hasNotableBearer, Kenneth Reitz]
Generated description
Kenneth Reitz is a software engineer best known for creating the popular Python HTTP library Requests and for his contributions to the Python community.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kenneth Reitz Target entity description: Kenneth Reitz is a software engineer best known for creating the popular Python HTTP library Requests and for his contributions to the Python community.
-
A.
Wes McKinney
Wes McKinney is an American software developer and author best known as the original creator of the Python data analysis library pandas and a key figure in the open-source data science ecosystem.
-
B.
Chris Richardson
Chris Richardson is an American singer and songwriter best known as a finalist on the sixth season of "American Idol."
-
C.
Alex Heineman
Alex Heineman is a film producer known for his work on the historical thriller "Operation Finale" and other feature films.
-
D.
Steven Bethard
Steven Bethard is a computer scientist and natural language processing researcher known for his work on temporal information extraction, semantic role labeling, and clinical NLP.
-
E.
Marc-Andre Lemburg
Marc-Andre Lemburg is a German software developer and long-time Python core contributor known for his work on Python’s Unicode support, packaging standards, and leadership in the Python community.
- 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_69e0c47a95908190ae3e19b716accb3d |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f118ed35948190bbffba2c40029eee |
completed | April 28, 2026, 8:30 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0a52bb53a48190905241cbc7a06efb |
completed | May 17, 2026, 11:43 p.m. |
| NEDg | Description generation | batch_6a0a5375251c8190bd56103ad7465378 |
completed | May 17, 2026, 11:47 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0a54a231ec8190921160d7a1156aa5 |
completed | May 17, 2026, 11:52 p.m. |
Created at: April 16, 2026, 7:05 p.m.