Triple
T17087847
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ruth Nelson |
E414645
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Wilson
"Wilson" is a 2017 American comedy-drama film, based on Daniel Clowes' graphic novel, about a lonely, neurotic middle-aged man who tries to reconnect with his ex-wife and the daughter he never knew.
|
E1249149
|
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: [Ruth Nelson, notableWork, Wilson]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wilson Context triple: [Ruth Nelson, notableWork, Wilson]
-
A.
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.
-
B.
John
John is the given name of Prince Alexander John of Wales, a short-lived British royal infant of the 19th century.
-
C.
John
John is the given name of Sir John Woodville, a 15th-century English nobleman associated with the influential Woodville family during the Wars of the Roses.
-
D.
John
John Bacon was a 19th-century American politician who served in the Wisconsin State Assembly.
-
E.
John
John Hampden was a prominent 17th-century English politician and Parliamentarian leader known for his opposition to King Charles I’s taxation policies and his role in the events leading up to the English 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: Wilson Triple: [Ruth Nelson, notableWork, Wilson]
Generated description
"Wilson" is a 2017 American comedy-drama film, based on Daniel Clowes' graphic novel, about a lonely, neurotic middle-aged man who tries to reconnect with his ex-wife and the daughter he never knew.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Wilson Target entity description: "Wilson" is a 2017 American comedy-drama film, based on Daniel Clowes' graphic novel, about a lonely, neurotic middle-aged man who tries to reconnect with his ex-wife and the daughter he never knew.
-
A.
Wilson
"Wilson" is a 1944 American biographical film about U.S. President Woodrow Wilson, noted for its ambitious production and multiple Academy Awards.
-
B.
Wilson
Wilson is a masculine given name of English origin commonly used in English-speaking countries.
-
C.
Wilson
Wilson is a small rural city located in Lynn County, Texas, known for its agricultural surroundings and tight-knit community.
-
D.
Wilson
Wilson is a common English-language surname borne by numerous notable figures across fields such as science, politics, sports, and the arts.
-
E.
Wilson
Wilson is a small borough located in Northampton County, Pennsylvania, known primarily as a residential community adjacent to the city of Easton.
- 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_69d886cfc8e88190b05ba466edd35591 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3dbe92e488190b947287a968086d5 |
completed | April 18, 2026, 7:30 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a012ee81fd08190a7e1f5958fbe3b97 |
completed | May 11, 2026, 1:20 a.m. |
| NEDg | Description generation | batch_6a012ff7788c819086b2e6c0e382014c |
completed | May 11, 2026, 1:25 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0130dbe1f8819095b2d36882bf3287 |
completed | May 11, 2026, 1:29 a.m. |
Created at: April 10, 2026, 5:35 a.m.