Triple
T14055237
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mabel Smith Vanderburg |
E338201
|
entity |
| Predicate | hasFamilyName |
P18
|
FINISHED |
| Object |
Vanderburg
Vanderburg is a surname of likely Dutch or German origin borne by individuals such as Mabel Smith Vanderburg.
|
E1078942
|
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: Vanderburg | Statement: [Mabel Smith Vanderburg, hasFamilyName, Vanderburg]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vanderburg Context triple: [Mabel Smith Vanderburg, hasFamilyName, Vanderburg]
-
A.
Chabot
Chabot is a surname most notably associated with Anthony Chabot, a 19th-century entrepreneur and pioneer in California’s water supply and hydraulic mining industries.
-
B.
Bancroft
Bancroft is an English-origin surname borne by various notable figures in politics, academia, and the arts.
-
C.
Barnard
Barnard is a surname and given name of English and French origin, borne by various notable individuals and institutions.
-
D.
Goddard
Goddard is a surname most famously associated with Robert H. Goddard, the American physicist and engineer regarded as the father of modern rocketry.
-
E.
Goddard
Goddard is Jimmy Neutron’s loyal robotic dog companion from the animated franchise "The Adventures of Jimmy Neutron: Boy Genius."
- 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: Vanderburg Triple: [Mabel Smith Vanderburg, hasFamilyName, Vanderburg]
Generated description
Vanderburg is a surname of likely Dutch or German origin borne by individuals such as Mabel Smith Vanderburg.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Vanderburg Target entity description: Vanderburg is a surname of likely Dutch or German origin borne by individuals such as Mabel Smith Vanderburg.
-
A.
Chabot
Chabot is a surname most notably associated with Anthony Chabot, a 19th-century entrepreneur and pioneer in California’s water supply and hydraulic mining industries.
-
B.
Bancroft
Bancroft is an English-origin surname borne by various notable figures in politics, academia, and the arts.
-
C.
Barnard
Barnard is a surname and given name of English and French origin, borne by various notable individuals and institutions.
-
D.
Goddard
Goddard is a surname most famously associated with Robert H. Goddard, the American physicist and engineer regarded as the father of modern rocketry.
-
E.
Goddard
Goddard is Jimmy Neutron’s loyal robotic dog companion from the animated franchise "The Adventures of Jimmy Neutron: Boy Genius."
- 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_69d81c67ba6c819091935650dfb3b895 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de3c8d1aa48190a5055d15d9fa220c |
completed | April 14, 2026, 1:09 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fcb6608cf8819087ed5d890b82650a |
completed | May 7, 2026, 3:57 p.m. |
| NEDg | Description generation | batch_69fcc91405888190ba808b2051f57f19 |
completed | May 7, 2026, 5:17 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fcc9be3f448190b2edd96c4159f923 |
completed | May 7, 2026, 5:19 p.m. |
Created at: April 9, 2026, 10:20 p.m.