Triple
T11665196
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Strickland |
E277230
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object |
Ken Strickland
Ken Strickland is an American journalist best known as a longtime NBC News producer and former Washington bureau chief.
|
E939145
|
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: Ken Strickland | Statement: [Strickland, hasNotableBearer, Ken Strickland]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ken Strickland Context triple: [Strickland, hasNotableBearer, Ken Strickland]
-
A.
Brad Strickland
Brad Strickland is an American science fiction and fantasy author known for his work on series such as "The Lewis Barnavelt" books and various media tie-in novels.
-
B.
Adam Biddle
Adam Biddle is a British cinematographer known for his dynamic, high-energy visual style in action films such as "Crank."
-
C.
Scott Stricklin
Scott Stricklin is an American college athletics administrator who serves as the athletic director at the University of Florida.
-
D.
Randy Stripling
Randy Stripling is an American actor best known for his supporting role in the 1999 coming-of-age drama film "October Sky."
-
E.
Mike Tidwell
Mike Tidwell is an American environmental activist, author, and founder of the Chesapeake Climate Action Network, known for his advocacy on climate change and clean energy.
- 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: Ken Strickland Triple: [Strickland, hasNotableBearer, Ken Strickland]
Generated description
Ken Strickland is an American journalist best known as a longtime NBC News producer and former Washington bureau chief.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ken Strickland Target entity description: Ken Strickland is an American journalist best known as a longtime NBC News producer and former Washington bureau chief.
-
A.
Brad Strickland
Brad Strickland is an American science fiction and fantasy author known for his work on series such as "The Lewis Barnavelt" books and various media tie-in novels.
-
B.
Adam Biddle
Adam Biddle is a British cinematographer known for his dynamic, high-energy visual style in action films such as "Crank."
-
C.
Scott Stricklin
Scott Stricklin is an American college athletics administrator who serves as the athletic director at the University of Florida.
-
D.
Randy Stripling
Randy Stripling is an American actor best known for his supporting role in the 1999 coming-of-age drama film "October Sky."
-
E.
Mike Tidwell
Mike Tidwell is an American environmental activist, author, and founder of the Chesapeake Climate Action Network, known for his advocacy on climate change and clean energy.
- 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_69ee88355fe08190b16b417c12e69e1a |
completed | April 26, 2026, 9:48 p.m. |
| NEDg | Description generation | batch_69eeb316ba948190a39dfc80d6245b17 |
completed | April 27, 2026, 12:51 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69eee9b59f448190b97ecd05c843ce78 |
completed | April 27, 2026, 4:44 a.m. |
Created at: April 8, 2026, 9:39 p.m.