Triple
T22125688
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Demi |
E546784
|
entity |
| Predicate | hasTrack |
P3284
|
FINISHED |
| Object | Nightingale |
—
|
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: Nightingale | Statement: [Demi, hasTrack, Nightingale]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nightingale Context triple: [Demi, hasTrack, Nightingale]
-
A.
Nightingale
Nightingale is the surname of Florence Nightingale, the pioneering 19th-century nurse and social reformer widely regarded as the founder of modern nursing.
-
B.
Nightingale
chosen
Nightingale is a 2014 psychological drama film featuring David Oyelowo in an intense, largely single-character performance as a mentally unstable war veteran.
-
C.
Nightingall
Nightingall is an alternative spelling of the surname Nightingale, most famously associated with the pioneering nurse and social reformer Florence Nightingale.
-
D.
The Swedish Nightingale
The Swedish Nightingale was the nickname of Jenny Lind, a celebrated 19th-century Swedish opera singer renowned across Europe and America for her pure, agile soprano voice.
-
E.
Maud
Maud was a Norwegian polar exploration ship used by Roald Amundsen during his Arctic expeditions in the early 20th century.
- 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_69e11e39bf348190b541bfa16a7b71e0 |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f12980e2488190b58b541c8bee8480 |
completed | April 28, 2026, 9:41 p.m. |
Created at: April 16, 2026, 8:31 p.m.