Triple
T13403139
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Henriette de Mortsauf |
E319884
|
entity |
| Predicate | appearsIn |
P795
|
FINISHED |
| Object | The Lily of the Valley |
E310133
|
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: The Lily of the Valley | Statement: [Henriette de Mortsauf, appearsIn, The Lily of the Valley]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: The Lily of the Valley Context triple: [Henriette de Mortsauf, appearsIn, The Lily of the Valley]
-
A.
The Lily of the Valley
chosen
The Lily of the Valley is an English title of Honoré de Balzac’s novel "Le Lys dans la vallée," a classic work of French literature exploring unrequited love and social convention.
-
B.
Lillies of the Valley
"Lillies of the Valley" is a song by David Byrne featured on his 1994 self-titled solo album, blending art rock and worldbeat influences.
-
C.
Snowdrops
Snowdrops is an informal nickname for members of the Royal Air Force Police in the United Kingdom.
-
D.
Snowdrop
Snowdrop is a Mersey Ferry passenger vessel that operates on the River Mersey, carrying commuters and tourists between Liverpool and the Wirral.
-
E.
Violets
Violets are the athletic teams representing New York University in intercollegiate sports.
- 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_69d806b943cc8190b6af624d385d7e12 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69dbae4ae47081909b68a9aaa62fd4c7 |
completed | April 12, 2026, 2:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7307904608190ad647f741c08dc42 |
completed | May 3, 2026, 11:24 a.m. |
Created at: April 9, 2026, 9:34 p.m.