Triple
T14143278
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gertrude Jekyll |
E350479
|
entity |
| Predicate | fullName |
P16
|
FINISHED |
| Object | Gertrude Jekyll |
E350479
|
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: Gertrude Jekyll | Statement: [Gertrude Jekyll, fullName, Gertrude Jekyll]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gertrude Jekyll Context triple: [Gertrude Jekyll, fullName, Gertrude Jekyll]
-
A.
Gertrude Jekyll
chosen
Gertrude Jekyll was a pioneering British garden designer, horticulturist, and writer renowned for her influential Arts and Crafts–inspired planting schemes and collaborations with architect Edwin Lutyens.
-
B.
Juliette "Jules" Paxton
Juliette "Jules" Paxton is a talented and determined young footballer whose friendship and shared passion for the sport drive much of the story in the film "Bend It Like Beckham."
-
C.
Ella Annesley Voysey
Ella Annesley Voysey was the wife of acclaimed English actor Robert Donat.
-
D.
Mary Lutyens
Mary Lutyens was a British writer and biographer best known for her extensive works on the philosopher Jiddu Krishnamurti.
-
E.
Marianne North
Marianne North was a 19th-century English biologist and prolific botanical artist renowned for her detailed paintings of plants from around the world.
- 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_69d827865f608190b311820428ae027b |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de61214de081909a5186ff11336f97 |
completed | April 14, 2026, 3:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fcdf1b8508819096d4f5cf1456edca |
completed | May 7, 2026, 6:51 p.m. |
Created at: April 10, 2026, 12:52 a.m.