Triple
T10283819
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Frank Dobson |
E241174
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Dobson
Dobson is an English-language surname borne by various notable individuals across fields such as politics, sports, and the arts.
|
E852597
|
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: Dobson | Statement: [Frank Dobson, familyName, Dobson]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dobson Context triple: [Frank Dobson, familyName, Dobson]
-
A.
Dobley
Dobley is a significant urban center in Somalia's Jubaland region, serving as an important local hub for trade and administration.
-
B.
Dobkin
Dobkin is a Jewish surname borne by various notable individuals, including figures in Israeli politics, arts, and public life.
-
C.
Michell
Michell is a given name and surname that functions as a variant spelling of Mitchell.
-
D.
Bonnell
Bonnell is a former parliamentary constituency in the United Kingdom that was represented in the House of Commons before being succeeded by the Saltwell constituency.
-
E.
Bonnell
Bonnell is the microarchitecture that underpinned Intel's first-generation Atom processors, designed for low-power, energy-efficient computing in mobile and embedded devices.
- 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: Dobson Triple: [Frank Dobson, familyName, Dobson]
Generated description
Dobson is an English-language surname borne by various notable individuals across fields such as politics, sports, and the arts.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Dobson Target entity description: Dobson is an English-language surname borne by various notable individuals across fields such as politics, sports, and the arts.
-
A.
Dobley
Dobley is a significant urban center in Somalia's Jubaland region, serving as an important local hub for trade and administration.
-
B.
Dobkin
Dobkin is a Jewish surname borne by various notable individuals, including figures in Israeli politics, arts, and public life.
-
C.
Michell
Michell is a given name and surname that functions as a variant spelling of Mitchell.
-
D.
Bonnell
Bonnell is a former parliamentary constituency in the United Kingdom that was represented in the House of Commons before being succeeded by the Saltwell constituency.
-
E.
Bonnell
Bonnell is the microarchitecture that underpinned Intel's first-generation Atom processors, designed for low-power, energy-efficient computing in mobile and embedded devices.
- 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_69d381aaafc08190af475ef58dc16aba |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4d2b5853081909cd0397e08a0f44d |
completed | April 7, 2026, 9:47 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d6f83c3c488190b728783bc260b006 |
completed | April 9, 2026, 12:52 a.m. |
| NEDg | Description generation | batch_69d6fcae243c819095a2e791716805bd |
completed | April 9, 2026, 1:11 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d6fd3495fc8190a093d2536cfbe58a |
completed | April 9, 2026, 1:13 a.m. |
Created at: April 6, 2026, 11:39 a.m.