Triple
T5257877
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jennie Jerome |
E118745
|
entity |
| Predicate | birthName |
P65
|
FINISHED |
| Object | Jeanette Jerome |
E118746
|
NE FINISHED |
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: Jeanette Jerome | Statement: [Jennie Jerome, birthName, Jeanette Jerome]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jeanette Jerome Context triple: [Jennie Jerome, birthName, Jeanette Jerome]
-
A.
Jeanette Jerome
chosen
Jeanette Jerome, later known as Lady Randolph Churchill, was an American-born British socialite and the mother of Prime Minister Winston Churchill.
-
B.
Jeanette Demont
Jeanette Demont was the first wife of American oil tycoon and art collector J. Paul Getty.
-
C.
Lottie Landis
Lottie Landis was an American silent-era film actress and the sister of actor Cullen Landis.
-
D.
Helen Jerome Eddy
Helen Jerome Eddy was an American silent film actress known for her character roles in numerous early 20th-century motion pictures.
-
E.
Jeanette Sterke
Jeanette Sterke is a British actress known for her work in film, television, and theatre, including roles in period dramas and classic adaptations.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69bd446978108190bb5f9c5c23d93f88 |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd7ba64fe48190943e7d49f6e1449a |
completed | March 20, 2026, 4:53 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69befe7ded18819094f86cfff458953c |
completed | March 21, 2026, 8:24 p.m. |
Created at: March 20, 2026, 1:50 p.m.