Triple
T11721770
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | King Cole Trio |
E278649
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Sweet Lorraine |
E539583
|
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: Sweet Lorraine | Statement: [King Cole Trio, notableWork, Sweet Lorraine]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sweet Lorraine Context triple: [King Cole Trio, notableWork, Sweet Lorraine]
-
A.
Sweet Lorraine
chosen
"Sweet Lorraine" is a popular jazz standard from the 1930s, best known for its many recordings by prominent swing and jazz artists.
-
B.
Dulcissime
"Dulcissime" is the climactic, high-flying soprano solo that concludes the "Cour d'amours" section of Carl Orff’s cantata Carmina Burana.
-
C.
Le Bonheur
Le Bonheur is a philosophical poetry collection by French poet and Nobel laureate Sully Prudhomme that meditates on the nature and pursuit of human happiness.
-
D.
Le Bonheur
Le Bonheur is a 1965 French New Wave film by Agnès Varda that explores marital fidelity and the nature of happiness through a visually lush yet unsettlingly ironic style.
-
E.
Petit à petit
Petit à petit is a 1970 ethnographic comedy film by Jean Rouch that satirically explores cultural differences through the story of Nigerien businessmen investigating life in Paris.
- 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_69d6aaff2ce88190b4a1e4b341ad5377 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a4c373088190bc2ae77a1696d280 |
completed | April 10, 2026, 7:20 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ef83c8ac2c8190b3bba7db42734f3a |
completed | April 27, 2026, 3:42 p.m. |
Created at: April 8, 2026, 9:40 p.m.