Triple
T11929436
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lumberton, North Carolina |
E283871
|
entity |
| Predicate | foundedBy |
P104
|
FINISHED |
| Object |
John Willis
John Willis was an early settler and community leader credited with establishing the town that became Lumberton, North Carolina.
|
E982639
|
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 Willis | Statement: [Lumberton, North Carolina, foundedBy, John Willis]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: John Willis Context triple: [Lumberton, North Carolina, foundedBy, John Willis]
-
A.
John Willis
John Willis was a senior Royal Air Force officer who served as Air Officer Commanding-in-Chief of Fighter Command.
-
B.
Nat Willis
Nat Willis is known primarily as the husband of British-American actress Andrea King.
-
C.
Ben Willis
Ben Willis is the hook-wielding serial killer known as the Fisherman, the central slasher villain in the "I Know What You Did Last Summer" horror film series.
-
D.
John Wilkie
John Wilkie was an 18th-century London publisher best known for issuing the first edition of Richard Brinsley Sheridan’s play "The School for Scandal."
-
E.
Joe Willis
Joe Willis is an American professional soccer goalkeeper in Major League Soccer who has been recognized as one of the league’s top performers at his position.
- 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 Willis Triple: [Lumberton, North Carolina, foundedBy, John Willis]
Generated description
John Willis was an early settler and community leader credited with establishing the town that became Lumberton, North Carolina.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: John Willis Target entity description: John Willis was an early settler and community leader credited with establishing the town that became Lumberton, North Carolina.
-
A.
John Willis
John Willis was a senior Royal Air Force officer who served as Air Officer Commanding-in-Chief of Fighter Command.
-
B.
Nat Willis
Nat Willis is known primarily as the husband of British-American actress Andrea King.
-
C.
Ben Willis
Ben Willis is the hook-wielding serial killer known as the Fisherman, the central slasher villain in the "I Know What You Did Last Summer" horror film series.
-
D.
John Wilkie
John Wilkie was an 18th-century London publisher best known for issuing the first edition of Richard Brinsley Sheridan’s play "The School for Scandal."
-
E.
Joe Willis
Joe Willis is an American professional soccer goalkeeper in Major League Soccer who has been recognized as one of the league’s top performers at his position.
- 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_69d6ab2ce9c48190b5d39511b524f666 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d90303a9a88190a4044e6310ba9b4b |
completed | April 10, 2026, 2:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6344f8ee88190aae2b0052f296e19 |
completed | May 2, 2026, 5:28 p.m. |
| NEDg | Description generation | batch_69f63674aa3c81908ba82a9d246b3b3a |
completed | May 2, 2026, 5:37 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f63a9b32fc8190ab98492ff91d2a66 |
completed | May 2, 2026, 5:55 p.m. |
Created at: April 8, 2026, 9:45 p.m.