Triple
T16282747
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John Richardson Harris |
E395308
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
John
John is the given name of John Richardson Harris, an early 19th-century Texas settler and founder of the town of Harrisburg, after whom Harris County is named.
|
E1205668
|
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: John | Statement: [John Richardson Harris, givenName, John]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: John Context triple: [John Richardson Harris, givenName, John]
-
A.
John
John Vassall Jr. was a British civil servant who became notorious as a Soviet spy during the Cold War.
-
B.
John
John is the given first name of Johnny Kilbane, an American featherweight boxing champion from the early 20th century.
-
C.
John
John is the given name of John Albert William Spencer-Churchill, a British aristocrat and 10th Duke of Marlborough.
-
D.
John
John was a Portuguese royal who held the title of Prince of Brazil and later became King John VI of Portugal.
-
E.
John
John is the given name of John Cornford, a British poet and communist who was killed while fighting in the Spanish Civil War.
- 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: John Triple: [John Richardson Harris, givenName, John]
Generated description
John is the given name of John Richardson Harris, an early 19th-century Texas settler and founder of the town of Harrisburg, after whom Harris County is named.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: John Target entity description: John is the given name of John Richardson Harris, an early 19th-century Texas settler and founder of the town of Harrisburg, after whom Harris County is named.
-
A.
John
John is the given name of John Neely Bryan, the 19th-century American trader and lawyer who founded the city of Dallas, Texas.
-
B.
John
John is the given name of John H. Reagan, a prominent 19th-century American politician who served as a Confederate postmaster general and later as a U.S. congressman and senator from Texas.
-
C.
John
John is the given name of John Eager Howard, an American Revolutionary War officer and early political leader from Maryland.
-
D.
John
John is the given name of John Henry Patterson, an American industrialist and founder of the National Cash Register Company.
-
E.
John
John is the given name of John Sevier, an American frontiersman, soldier, and the first governor of Tennessee.
- 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_69d87f22c7248190a54c949738441e2e |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e24911f11881909c98ddf829f077e9 |
completed | April 17, 2026, 2:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a001f90d4088190915d701978f018a5 |
completed | May 10, 2026, 6:02 a.m. |
| NEDg | Description generation | batch_6a00217cba8c819098b038579eb51957 |
completed | May 10, 2026, 6:11 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a00221262288190b154d2e2c318d162 |
completed | May 10, 2026, 6:13 a.m. |
Created at: April 10, 2026, 5:05 a.m.