Triple
T9342717
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nora Rowley |
E224801
|
entity |
| Predicate | hasFamilyName |
P18
|
FINISHED |
| Object |
Rowley
Rowley is a surname of English origin borne by various notable individuals across fields such as politics, science, and the arts.
|
E792826
|
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: Rowley | Statement: [Nora Rowley, hasFamilyName, Rowley]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rowley Context triple: [Nora Rowley, hasFamilyName, Rowley]
-
A.
Elmswell
Elmswell is a village and civil parish in the county of Suffolk in eastern England.
-
B.
Eastmoreland
Eastmoreland is a historic, tree-lined residential neighborhood in southeast Portland, Oregon, known for its classic homes, golf course, and proximity to parks and natural areas.
-
C.
Orsett
Orsett is a village and civil parish in the borough of Thurrock in Essex, England, known for its historic church and traditional village green.
-
D.
Ruxley
Ruxley is a locality in the London Borough of Bromley, England, known for its mix of suburban development and nearby nature reserves such as the Ruxley Gravel Pits.
-
E.
Northbourne
Northbourne is a small village and civil parish in Kent, England, known for its rural character and historic church.
- 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: Rowley Triple: [Nora Rowley, hasFamilyName, Rowley]
Generated description
Rowley is a surname of English origin borne by various notable individuals across fields such as politics, science, and the arts.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Rowley Target entity description: Rowley is a surname of English origin borne by various notable individuals across fields such as politics, science, and the arts.
-
A.
Elmswell
Elmswell is a village and civil parish in the county of Suffolk in eastern England.
-
B.
Eastmoreland
Eastmoreland is a historic, tree-lined residential neighborhood in southeast Portland, Oregon, known for its classic homes, golf course, and proximity to parks and natural areas.
-
C.
Orsett
Orsett is a village and civil parish in the borough of Thurrock in Essex, England, known for its historic church and traditional village green.
-
D.
Ruxley
Ruxley is a locality in the London Borough of Bromley, England, known for its mix of suburban development and nearby nature reserves such as the Ruxley Gravel Pits.
-
E.
Northbourne
Northbourne is a small village and civil parish in Kent, England, known for its rural character and historic church.
- 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_69ca842993248190a79ab06968994b86 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd4bb11cd08190b159a6066dd0ebf1 |
completed | April 1, 2026, 4:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d0e4043e288190b05511d537b1614d |
completed | April 4, 2026, 10:12 a.m. |
| NEDg | Description generation | batch_69d0e573af788190be4baaa3afb87ca2 |
completed | April 4, 2026, 10:18 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d0e607944c81909a421828595cd793 |
completed | April 4, 2026, 10:20 a.m. |
Created at: March 30, 2026, 7:40 p.m.