Triple
T7738194
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eileen Soper |
E175435
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Soper
Soper is a surname most notably associated with British illustrator and etcher Eileen Soper and other members of her artistic family.
|
E685329
|
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: Soper | Statement: [Eileen Soper, familyName, Soper]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Soper Context triple: [Eileen Soper, familyName, Soper]
-
A.
U.S. Bates
U.S. Bates is a wealthy, arrogant department store owner and the main antagonist in the 1982 comedy film "The Toy."
-
B.
Palmore
Palmore is a surname that functions as a variant form of the more common family name Palmer.
-
C.
Daboll
Daboll is a surname most prominently associated with Brian Daboll, a professional American football coach in the National Football League.
-
D.
Eldridge
Eldridge is an English-language surname of Old English origin, borne by various notable individuals across fields such as politics, the arts, and sports.
-
E.
Keefer
Keefer was a distinguished racing greyhound renowned for its achievements on the track, earning induction into the Greyhound Hall of Fame.
- 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: Soper Triple: [Eileen Soper, familyName, Soper]
Generated description
Soper is a surname most notably associated with British illustrator and etcher Eileen Soper and other members of her artistic family.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Soper Target entity description: Soper is a surname most notably associated with British illustrator and etcher Eileen Soper and other members of her artistic family.
-
A.
U.S. Bates
U.S. Bates is a wealthy, arrogant department store owner and the main antagonist in the 1982 comedy film "The Toy."
-
B.
Palmore
Palmore is a surname that functions as a variant form of the more common family name Palmer.
-
C.
Daboll
Daboll is a surname most prominently associated with Brian Daboll, a professional American football coach in the National Football League.
-
D.
Eldridge
Eldridge is an English-language surname of Old English origin, borne by various notable individuals across fields such as politics, the arts, and sports.
-
E.
Keefer
Keefer was a distinguished racing greyhound renowned for its achievements on the track, earning induction into the Greyhound Hall of Fame.
- 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_69c6995f9c60819092e386192bd63c6f |
completed | March 27, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69c7035a97688190bf93efeee2e365ec |
completed | March 27, 2026, 10:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8be3db6a481909750c13f9141b84b |
completed | March 29, 2026, 5:53 a.m. |
| NEDg | Description generation | batch_69c8becfaf80819095b8415b4b9f66d0 |
completed | March 29, 2026, 5:55 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c8bf3200f8819083f0a38cb03491a8 |
completed | March 29, 2026, 5:57 a.m. |
Created at: March 27, 2026, 4:07 p.m.