Triple
T10289174
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jacoba |
E241315
|
entity |
| Predicate | relatedName |
P3889
|
FINISHED |
| Object | Jacqueline |
E134483
|
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: Jacqueline | Statement: [Jacoba, relatedName, Jacqueline]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jacqueline Context triple: [Jacoba, relatedName, Jacqueline]
-
A.
Jacqueline
chosen
Jacqueline is a feminine given name most famously borne by former U.S. First Lady Jacqueline Kennedy Onassis.
-
B.
Jacqueline Lamba
Jacqueline Lamba was a French Surrealist painter closely associated with the Paris avant-garde and the artistic circle around André Breton in the 1930s and 1940s.
-
C.
Jacqueline Daryl
Jacqueline Daryl is best known as the wife of British actor Oliver Reed.
-
D.
Patricia
Patricia is a feminine given name of Latin origin, commonly used in English-speaking countries.
-
E.
Jacqueline Fontaine
Jacqueline Fontaine was an American actress and singer active in mid-20th-century film and television, known for her supporting roles in dramas and musicals.
- 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_69d381aaafc08190af475ef58dc16aba |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4d2b9d76c8190b1ef6ecf4c1a2a09 |
completed | April 7, 2026, 9:47 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d87e40205c8190a4788e1db1f149d2 |
completed | April 10, 2026, 4:36 a.m. |
Created at: April 6, 2026, 11:41 a.m.