Triple
T11665214
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Strickland |
E277230
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object |
Brian Strickland
Brian Strickland is an American Republican politician serving in the Georgia State Senate.
|
E941510
|
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: Brian Strickland | Statement: [Strickland, hasNotableBearer, Brian Strickland]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Brian Strickland Context triple: [Strickland, hasNotableBearer, Brian Strickland]
-
A.
Jeffrey Stott
Jeffrey Stott is a film producer best known for his work on the political comedy film "The American President."
-
B.
Andrew Strickland
Andrew Strickland is a person notable enough to be recognized as a bearer of the Strickland surname.
-
C.
Paul Strickland
Paul Strickland is a meticulous and highly skilled firefighter-paramedic on the series "9-1-1: Lone Star," known for his analytical mind and dedication to his team.
-
D.
Brian Steadman
Brian Steadman is a central character in the film "Teachers," depicted as an idealistic educator struggling with the challenges and absurdities of the public school system.
-
E.
Brian Pippard
Brian Pippard was a prominent British physicist known for his pioneering work in superconductivity and for serving as Cavendish Professor of Physics at the University of Cambridge.
- 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: Brian Strickland Triple: [Strickland, hasNotableBearer, Brian Strickland]
Generated description
Brian Strickland is an American Republican politician serving in the Georgia State Senate.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Brian Strickland Target entity description: Brian Strickland is an American Republican politician serving in the Georgia State Senate.
-
A.
Jeffrey Stott
Jeffrey Stott is a film producer best known for his work on the political comedy film "The American President."
-
B.
Andrew Strickland
Andrew Strickland is a person notable enough to be recognized as a bearer of the Strickland surname.
-
C.
Paul Strickland
Paul Strickland is a meticulous and highly skilled firefighter-paramedic on the series "9-1-1: Lone Star," known for his analytical mind and dedication to his team.
-
D.
Brian Steadman
Brian Steadman is a central character in the film "Teachers," depicted as an idealistic educator struggling with the challenges and absurdities of the public school system.
-
E.
Brian Pippard
Brian Pippard was a prominent British physicist known for his pioneering work in superconductivity and for serving as Cavendish Professor of Physics at the University of Cambridge.
- 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_69d6aafd0a448190b44da30af8c6c519 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a43f438081909da476294a057c38 |
completed | April 10, 2026, 7:18 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ef82ce2904819094cf5be87fb14fca |
completed | April 27, 2026, 3:37 p.m. |
| NEDg | Description generation | batch_69ef96ab29d48190b225504856007384 |
completed | April 27, 2026, 5:02 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69efd64bfa7081909715aa64d80fadf3 |
completed | April 27, 2026, 9:34 p.m. |
Created at: April 8, 2026, 9:39 p.m.