Triple
T6205994
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ellnora Decker Krannert |
E138747
|
entity |
| Predicate | hasMiddleName |
P143
|
FINISHED |
| Object |
Decker
Decker is a middle name borne by Ellnora Decker Krannert, an American philanthropist known for her support of the arts and education.
|
E576164
|
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: Decker | Statement: [Ellnora Decker Krannert, hasMiddleName, Decker]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Decker Context triple: [Ellnora Decker Krannert, hasMiddleName, Decker]
-
A.
Daboll
Daboll is a surname most prominently associated with Brian Daboll, a professional American football coach in the National Football League.
-
B.
Derek Duke
Derek Duke is a composer best known for creating music for Blizzard Entertainment games, particularly the World of Warcraft series.
-
C.
Derrick
Derrick is the given name of Derrick Rose, an American professional basketball player and former NBA MVP.
-
D.
Rennie
Rennie is a Scottish surname most notably associated with the family of civil engineers, including John Rennie the Younger.
-
E.
Barrett Deems
Barrett Deems was an American jazz drummer best known for his high-energy playing and for performing with Louis Armstrong’s All-Stars in the 1950s.
- 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: Decker Triple: [Ellnora Decker Krannert, hasMiddleName, Decker]
Generated description
Decker is a middle name borne by Ellnora Decker Krannert, an American philanthropist known for her support of the arts and education.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Decker Target entity description: Decker is a middle name borne by Ellnora Decker Krannert, an American philanthropist known for her support of the arts and education.
-
A.
Daboll
Daboll is a surname most prominently associated with Brian Daboll, a professional American football coach in the National Football League.
-
B.
Derek Duke
Derek Duke is a composer best known for creating music for Blizzard Entertainment games, particularly the World of Warcraft series.
-
C.
Derrick
Derrick is the given name of Derrick Rose, an American professional basketball player and former NBA MVP.
-
D.
Rennie
Rennie is a Scottish surname most notably associated with the family of civil engineers, including John Rennie the Younger.
-
E.
Barrett Deems
Barrett Deems was an American jazz drummer best known for his high-energy playing and for performing with Louis Armstrong’s All-Stars in the 1950s.
- 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_69c008acbea48190991c6b834bb45d65 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c0626f85748190a94448117a85fd78 |
completed | March 22, 2026, 9:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c16f47b04c81909bfe20305911f5f2 |
completed | March 23, 2026, 4:50 p.m. |
| NEDg | Description generation | batch_69c1f5a1374481909117f2d8582ef195 |
completed | March 24, 2026, 2:23 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c1f60573a481909440f2ba7ef01f79 |
completed | March 24, 2026, 2:25 a.m. |
Created at: March 22, 2026, 4:20 p.m.