Triple
T2791132
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sara Sedgwick |
E61930
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Sedgwick
Sedgwick is an English-origin surname borne by various notable figures in fields such as acting, literature, and academia.
|
E298603
|
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: Sedgwick | Statement: [Sara Sedgwick, familyName, Sedgwick]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sedgwick Context triple: [Sara Sedgwick, familyName, Sedgwick]
-
A.
Halstead
Halstead is a historic market town in the county of Essex in the East of England.
-
B.
Wendover
Wendover is a historic market town and civil parish at the foot of the Chiltern Hills in Buckinghamshire, England.
-
C.
Weston
Weston is a small coastal village on the Isle of Portland in Dorset, England, known for its traditional stone cottages and proximity to dramatic Jurassic Coast scenery.
-
D.
Weston
Weston is a historic residential neighbourhood in the former city of York, now part of Toronto, Ontario, known for its village-like character and location along the Humber River.
-
E.
Weston
Weston is a suburban town in eastern Massachusetts known for its residential character, conservation land, and commuter access to Boston.
- 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: Sedgwick Triple: [Sara Sedgwick, familyName, Sedgwick]
Generated description
Sedgwick is an English-origin surname borne by various notable figures in fields such as acting, literature, and academia.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sedgwick Target entity description: Sedgwick is an English-origin surname borne by various notable figures in fields such as acting, literature, and academia.
-
A.
Halstead
Halstead is a historic market town in the county of Essex in the East of England.
-
B.
Wendover
Wendover is a historic market town and civil parish at the foot of the Chiltern Hills in Buckinghamshire, England.
-
C.
Weston
Weston is a small coastal village on the Isle of Portland in Dorset, England, known for its traditional stone cottages and proximity to dramatic Jurassic Coast scenery.
-
D.
Weston
Weston is a historic residential neighbourhood in the former city of York, now part of Toronto, Ontario, known for its village-like character and location along the Humber River.
-
E.
Weston
Weston is a suburban town in eastern Massachusetts known for its residential character, conservation land, and commuter access to Boston.
- 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_69ab4b7f51d881908768300ebd2fbdae |
completed | March 6, 2026, 9:47 p.m. |
| NER | Named-entity recognition | batch_69abddcfe19c81908f94dd449f18a2c2 |
completed | March 7, 2026, 8:12 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69afc65c1f848190b6efeefb64a3e131 |
completed | March 10, 2026, 7:21 a.m. |
| NEDg | Description generation | batch_69afc6e6d4bc81908108fe24677448c3 |
completed | March 10, 2026, 7:23 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69afc7907be88190b70458ed735261e8 |
completed | March 10, 2026, 7:26 a.m. |
Created at: March 6, 2026, 9:58 p.m.