Triple
T11687961
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Texas City, Texas |
E277791
|
entity |
| Predicate | hasMayor |
P185
|
FINISHED |
| Object |
Dedrick Johnson
Dedrick Johnson is an American local politician who serves as the mayor of Texas City, Texas.
|
E941042
|
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: Dedrick Johnson | Statement: [Texas City, Texas, hasMayor, Dedrick Johnson]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dedrick Johnson Context triple: [Texas City, Texas, hasMayor, Dedrick Johnson]
-
A.
Cedric Yarbrough
Cedric Yarbrough is an American actor and comedian best known for his roles on the TV series "Reno 911!" and for voicing characters in animated shows such as "The Boondocks."
-
B.
Derrick Johnson
Derrick Johnson is an American civil rights activist and attorney who serves as the president and CEO of the NAACP.
-
C.
Derrick Trotman
Derrick Trotman is a music producer known for his work on the track "Umi Says."
-
D.
Darrick Moore
Darrick Moore is a former collegiate wrestler recognized as a notable alumnus of the Princeton Tigers wrestling program.
-
E.
Joshua Johnson
Joshua Johnson was an American merchant and diplomat of the late 18th century, known for his commercial activities in London and as the father of U.S. First Lady Louisa Catherine Adams.
- 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: Dedrick Johnson Triple: [Texas City, Texas, hasMayor, Dedrick Johnson]
Generated description
Dedrick Johnson is an American local politician who serves as the mayor of Texas City, Texas.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Dedrick Johnson Target entity description: Dedrick Johnson is an American local politician who serves as the mayor of Texas City, Texas.
-
A.
Cedric Yarbrough
Cedric Yarbrough is an American actor and comedian best known for his roles on the TV series "Reno 911!" and for voicing characters in animated shows such as "The Boondocks."
-
B.
Derrick Johnson
Derrick Johnson is an American civil rights activist and attorney who serves as the president and CEO of the NAACP.
-
C.
Derrick Trotman
Derrick Trotman is a music producer known for his work on the track "Umi Says."
-
D.
Darrick Moore
Darrick Moore is a former collegiate wrestler recognized as a notable alumnus of the Princeton Tigers wrestling program.
-
E.
Joshua Johnson
Joshua Johnson was an American merchant and diplomat of the late 18th century, known for his commercial activities in London and as the father of U.S. First Lady Louisa Catherine Adams.
- 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_69d6aafe02d881909900d54ad7d4af84 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a4654be881909bd0256cf18e25de |
completed | April 10, 2026, 7:19 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ef14431f3c81908af9167c46f8c2bc |
completed | April 27, 2026, 7:46 a.m. |
| NEDg | Description generation | batch_69ef511f8f688190b2806d4e8ab16511 |
completed | April 27, 2026, 12:05 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ef537efcc48190afffaa50f28940d8 |
completed | April 27, 2026, 12:15 p.m. |
Created at: April 8, 2026, 9:40 p.m.