Triple
T18263843
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mr. Lewisham |
E437431
|
entity |
| Predicate | loveInterest |
P7325
|
FINISHED |
| Object | Ethel Henderson |
—
|
NE NERFINISHED |
How this triple was built (2 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: Ethel Henderson | Statement: [Mr. Lewisham, loveInterest, Ethel Henderson]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ethel Henderson Context triple: [Mr. Lewisham, loveInterest, Ethel Henderson]
-
A.
Ethel Henderson
chosen
Ethel Henderson is a fictional character who serves as the romantic interest of the protagonist, Mr. Lewisham, in H. G. Wells’s novel "Love and Mr. Lewisham."
-
B.
Ethel Reed
Ethel Reed was the wife of Australian pharmacologist and Nobel laureate Howard Florey, who played a key role in the development of penicillin.
-
C.
Ethel Anderson
Ethel Anderson is a tough, competent park ranger and one of the central comedic protagonists in the animated television series "Brickleberry."
-
D.
Ethel Smith
Ethel Smith was the wife of American actor Ralph Bellamy, known primarily in relation to his long career in film, television, and theater.
-
E.
Ethel Smith
Ethel Smith was an American organist popular in the mid-20th century, best known for her lively Latin-influenced performances and recordings.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8b913351c8190932b6a426de04b41 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4ff78b188819081da8e1d389c6c79 |
completed | April 19, 2026, 4:14 p.m. |
Created at: April 10, 2026, 10:34 a.m.