Triple
T7326897
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Harlow (district) |
E168897
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Sumners
Sumners is a residential area and housing estate within the town of Harlow in Essex, England.
|
E656636
|
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: Sumners | Statement: [Harlow (district), contains, Sumners]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sumners Context triple: [Harlow (district), contains, Sumners]
-
A.
Sumner
Sumner is a small city in Washington State known for its historic downtown, agricultural roots, and role as a suburban community within the Seattle–Tacoma metropolitan area.
-
B.
Sumner
Sumner is a surname of English origin borne by various notable individuals, including American sociologist and classical liberal William Graham Sumner.
-
C.
Hemby
Hemby is a surname most notably associated with American songwriter and singer Natalie Hemby.
-
D.
Sullivan
Sullivan is a shortened name for the international law firm Sullivan & Worcester LLP, known for its corporate, tax, and financial legal services.
-
E.
Sullivan
Sullivan is a common Irish surname that has been borne by numerous notable figures in politics, arts, sports, and other fields.
- 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: Sumners Triple: [Harlow (district), contains, Sumners]
Generated description
Sumners is a residential area and housing estate within the town of Harlow in Essex, England.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sumners Target entity description: Sumners is a residential area and housing estate within the town of Harlow in Essex, England.
-
A.
Sumner
Sumner is a small city in Washington State known for its historic downtown, agricultural roots, and role as a suburban community within the Seattle–Tacoma metropolitan area.
-
B.
Sumner
Sumner is a surname of English origin borne by various notable individuals, including American sociologist and classical liberal William Graham Sumner.
-
C.
Hemby
Hemby is a surname most notably associated with American songwriter and singer Natalie Hemby.
-
D.
Sullivan
Sullivan is a shortened name for the international law firm Sullivan & Worcester LLP, known for its corporate, tax, and financial legal services.
-
E.
Sullivan
Sullivan is a common Irish surname that has been borne by numerous notable figures in politics, arts, sports, and other fields.
- 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_69c68a54cacc81908e3b773441f19566 |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f0a755e88190a50126e2d1d6d4cb |
completed | March 27, 2026, 9:03 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7ef0e3e7481908e6cedbd3f0077ca |
completed | March 28, 2026, 3:09 p.m. |
| NEDg | Description generation | batch_69c7efa4f5148190842f30988cbea94c |
completed | March 28, 2026, 3:11 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c7f0092bac819080ded1863f99290a |
completed | March 28, 2026, 3:13 p.m. |
Created at: March 27, 2026, 3:03 p.m.