Triple
T6634819
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lancing College |
E150421
|
entity |
| Predicate | foundedBy |
P104
|
FINISHED |
| Object |
Nathaniel Woodard
Nathaniel Woodard was a 19th-century Anglican clergyman and educationalist best known for founding a network of Church of England schools in England.
|
E598939
|
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: Nathaniel Woodard | Statement: [Lancing College, foundedBy, Nathaniel Woodard]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nathaniel Woodard Context triple: [Lancing College, foundedBy, Nathaniel Woodard]
-
A.
Nathaniel Brown
Nathaniel Brown was the longtime husband of Rebbie Jackson, the eldest sibling of the Jackson musical family.
-
B.
Nathaniel Chambers
Nathaniel Chambers is a computer scientist known for his work in natural language processing, particularly in narrative event understanding and script learning.
-
C.
Nathaniel Moran
Nathaniel Moran is a Republican politician serving as the U.S. Representative for Texas's 1st congressional district.
-
D.
Nathaniel Smith
Nathaniel Smith is one of the sons of acclaimed British actress Dame Maggie Smith.
-
E.
Elkin Mathews
Elkin Mathews was a British publisher and bookseller best known for championing early works of major modernist writers, including W.B. Yeats and James Joyce.
- 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: Nathaniel Woodard Triple: [Lancing College, foundedBy, Nathaniel Woodard]
Generated description
Nathaniel Woodard was a 19th-century Anglican clergyman and educationalist best known for founding a network of Church of England schools in England.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Nathaniel Woodard Target entity description: Nathaniel Woodard was a 19th-century Anglican clergyman and educationalist best known for founding a network of Church of England schools in England.
-
A.
Nathaniel Brown
Nathaniel Brown was the longtime husband of Rebbie Jackson, the eldest sibling of the Jackson musical family.
-
B.
Nathaniel Chambers
Nathaniel Chambers is a computer scientist known for his work in natural language processing, particularly in narrative event understanding and script learning.
-
C.
Nathaniel Moran
Nathaniel Moran is a Republican politician serving as the U.S. Representative for Texas's 1st congressional district.
-
D.
Nathaniel Smith
Nathaniel Smith is one of the sons of acclaimed British actress Dame Maggie Smith.
-
E.
Elkin Mathews
Elkin Mathews was a British publisher and bookseller best known for championing early works of major modernist writers, including W.B. Yeats and James Joyce.
- 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_69c687f0ceb08190bf40807bfc605fa5 |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6afcc1c9c819087fcde19a5d49fd2 |
completed | March 27, 2026, 4:26 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6cbf329f08190a3f29c4d4c6aa136 |
completed | March 27, 2026, 6:26 p.m. |
| NEDg | Description generation | batch_69c6cd0bb0e48190ae51fde4b4631f65 |
completed | March 27, 2026, 6:31 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c6cd90b9208190b4c5bf44db073314 |
completed | March 27, 2026, 6:33 p.m. |
Created at: March 27, 2026, 1:59 p.m.