Triple
T3054789
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ted Stevens |
E60453
|
entity |
| Predicate | child |
P120
|
FINISHED |
| Object |
Ben Stevens
Ben Stevens is an American lawyer and former Alaska state senator, best known as the son of longtime U.S. Senator Ted Stevens.
|
E365133
|
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: Ben Stevens | Statement: [Ted Stevens, child, Ben Stevens]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ben Stevens Context triple: [Ted Stevens, child, Ben Stevens]
-
A.
Mark Stevens
Mark Stevens was an American film and television actor best known for his roles in 1940s and 1950s dramas and film noir.
-
B.
Don Stevens
Don Stevens is a notable individual recognized for achievements significant enough to be distinguished from others sharing the surname Stevens.
-
C.
Mark Stott
Mark Stott is a British businessman and property developer best known as the owner and chairman of Stockport County Football Club.
-
D.
Ian Bryce
Ian Bryce is a British film producer known for his work on major Hollywood blockbusters such as Saving Private Ryan and the Transformers series.
-
E.
Christopher Le Brun
Christopher Le Brun is a British painter, sculptor, and printmaker who served as President of the Royal Academy of Arts in London.
- 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: Ben Stevens Triple: [Ted Stevens, child, Ben Stevens]
Generated description
Ben Stevens is an American lawyer and former Alaska state senator, best known as the son of longtime U.S. Senator Ted Stevens.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ben Stevens Target entity description: Ben Stevens is an American lawyer and former Alaska state senator, best known as the son of longtime U.S. Senator Ted Stevens.
-
A.
Mark Stevens
Mark Stevens was an American film and television actor best known for his roles in 1940s and 1950s dramas and film noir.
-
B.
Don Stevens
Don Stevens is a notable individual recognized for achievements significant enough to be distinguished from others sharing the surname Stevens.
-
C.
Mark Stott
Mark Stott is a British businessman and property developer best known as the owner and chairman of Stockport County Football Club.
-
D.
Ian Bryce
Ian Bryce is a British film producer known for his work on major Hollywood blockbusters such as Saving Private Ryan and the Transformers series.
-
E.
Christopher Le Brun
Christopher Le Brun is a British painter, sculptor, and printmaker who served as President of the Royal Academy of Arts in London.
- 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_69ad8578137c81908259dcb27c7d6d7c |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ad9bf6b9948190bc957bfd1579c471 |
completed | March 8, 2026, 3:55 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b37e46453c819084e459311ac0cdd9 |
completed | March 13, 2026, 3:02 a.m. |
| NEDg | Description generation | batch_69b37ecd49ac8190a1c66ca23eef8466 |
completed | March 13, 2026, 3:04 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b37f300a748190aa68556910c851d8 |
completed | March 13, 2026, 3:06 a.m. |
Created at: March 8, 2026, 3:02 p.m.