Triple
T23052790
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wilson Cruz |
E574066
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
Wilson
Wilson is a masculine given name of English origin commonly used in the United States and other English-speaking countries.
|
E1015091
|
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: Wilson | Statement: [Wilson Cruz, givenName, Wilson]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wilson Context triple: [Wilson Cruz, givenName, Wilson]
-
A.
John
John is the given name of John Henry Patterson, an American industrialist and founder of the National Cash Register Company.
-
B.
John
John B. Magruder was a Confederate major general during the American Civil War, known for his leadership in the Peninsula Campaign and his flamboyant personality.
-
C.
John
John is a fictional character from the work "Hit & Miss," known for his role within its crime-driven, dramatic storyline.
-
D.
John
John is the given name of John Turtle Wood, a 19th-century English architect and archaeologist best known for excavating the ancient Temple of Artemis at Ephesus.
-
E.
John
John is the first name of John F. Reyburn, an American Republican politician who served as a U.S. Representative from Pennsylvania in the late 19th and early 20th centuries.
- 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: Wilson Triple: [Wilson Cruz, givenName, Wilson]
Generated description
Wilson is a masculine given name of English origin commonly used in the United States and other English-speaking countries.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Wilson Target entity description: Wilson is a masculine given name of English origin commonly used in the United States and other English-speaking countries.
-
A.
Wilson
chosen
Wilson is a masculine given name of English origin commonly used in English-speaking countries.
-
B.
Wilson
Wilson is a common English-language surname borne by numerous notable figures across fields such as science, politics, sports, and the arts.
-
C.
Wilson
Wilson is a well-known American sporting goods manufacturer recognized especially for its basketballs and other professional sports equipment.
-
D.
Wilson
Wilson is a riverside suburb of Perth, Western Australia, known for its residential character and proximity to natural reserves and parklands.
-
E.
Wilson
"Wilson" is a 1944 American biographical film about U.S. President Woodrow Wilson, noted for its ambitious production and multiple Academy Awards.
- F. None of above.
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_69e245ba7ae48190be606dbc54120e39 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f1867dfac48190bf300f85d2907854 |
completed | April 29, 2026, 4:18 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0c0ae036908190a6cdcb74e0d28f82 |
completed | May 19, 2026, 7:01 a.m. |
| NEDg | Description generation | batch_6a0c0e2dd7908190afa879304ef3ed17 |
completed | May 19, 2026, 7:15 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0c0eaa7f8c81908110341d34d92537 |
completed | May 19, 2026, 7:18 a.m. |
Created at: April 17, 2026, 3:54 p.m.