Triple
T18823599
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Paula Maloles |
E460326
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Paula Maloles |
—
|
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: Paula Maloles | Statement: [Paula Maloles, name, Paula Maloles]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Paula Maloles Context triple: [Paula Maloles, name, Paula Maloles]
-
A.
Paula Maloles
chosen
Paula Maloles was the wife of Filipino revolutionary general Miguel Malvar and a supportive figure in his life during the Philippine struggle against Spanish and American colonial rule.
-
B.
Evelyn Dumo
Evelyn Dumo is an actress known for her role in the film "The Love Light."
-
C.
Rachel Kolisi
Rachel Kolisi is a South African entrepreneur and philanthropist, known for her work with the Kolisi Foundation and her public profile alongside her husband, rugby captain Siya Kolisi.
-
D.
Nelda Pienaar
Nelda Pienaar is best known as the wife of former South African rugby captain Francois Pienaar and a supportive figure in his public and charitable endeavors.
-
E.
Lusiana Burchard
Lusiana Burchard is best known as the wife of renowned mathematician Sir Michael Atiyah.
- 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_69d8dcf94c288190a06dea029ae4b223 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5a6bce5588190bd0aefcd0c51edad |
completed | April 20, 2026, 4:08 a.m. |
Created at: April 10, 2026, 11:56 a.m.