Triple
T1552430
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lowell textile mills |
E33122
|
entity |
| Predicate | developedBy |
P73
|
FINISHED |
| Object | Nathan Appleton |
E251402
|
NE FINISHED |
How this triple was built (2 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: Nathan Appleton | Statement: [Lowell textile mills, developedBy, Nathan Appleton]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nathan Appleton Context triple: [Lowell textile mills, developedBy, Nathan Appleton]
-
A.
Nathan Appleton
chosen
Nathan Appleton was a prominent 19th-century American merchant, industrialist, and politician who played a key role in the early textile industry in New England.
-
B.
John Davenport
John Davenport was a prominent 17th-century English Puritan clergyman and co-founder of the New Haven Colony in New England.
-
C.
Arthur Winslow
Arthur Winslow is the principled Edwardian father in Terence Rattigan’s play "The Winslow Boy," who risks his family’s security to clear his son’s name.
-
D.
Nathaniel Moran
Nathaniel Moran is a Republican politician serving as the U.S. Representative for Texas's 1st congressional district.
-
E.
Samuel Barnes
Samuel Barnes is an author known for his work with the Juicy brand.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69a885ee6db8819099502bc5ce8af881 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69a9086aed94819085c8194b4127c278 |
completed | March 5, 2026, 4:36 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69aea82cd9748190ac82c7221455b2d5 |
completed | March 9, 2026, 10:59 a.m. |
Created at: March 4, 2026, 7:26 p.m.