Triple
T17375118
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ève Curie |
E422415
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Curie |
—
|
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: Curie | Statement: [Ève Curie, familyName, Curie]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Curie Context triple: [Ève Curie, familyName, Curie]
-
A.
Curie
chosen
Curie is the renowned scientific family name most famously associated with Nobel Prize–winning physicists and chemists Marie and Pierre Curie and their descendants.
-
B.
Marie Curie
Marie Curie was a pioneering physicist and chemist renowned for her groundbreaking research on radioactivity and as the first person to win Nobel Prizes in two different scientific fields.
-
C.
Pierre et Marie Curie
Pierre et Marie Curie is a Paris Métro station in Ivry-sur-Seine named in honor of the pioneering physicists Pierre and Marie Curie.
-
D.
Ève Curie
Ève Curie was a French-American writer and pianist best known for her acclaimed biography of her mother, the scientist Marie Curie.
-
E.
curie
The curie is a large, non-SI unit of radioactivity historically used to quantify the intensity of radioactive sources, equal to 3.7 × 10¹⁰ disintegrations per second.
- 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_69d889d6535c81908be333c01deaec4e |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e43a6c864481908507290282cc6d25 |
completed | April 19, 2026, 2:14 a.m. |
Created at: April 10, 2026, 5:44 a.m.