Triple
T12019824
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Le Cygne |
E286118
|
entity |
| Predicate | translationOfName |
P15
|
FINISHED |
| Object | The Swan |
E321970
|
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 Swan | Statement: [Le Cygne, translationOfName, The Swan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: The Swan Context triple: [Le Cygne, translationOfName, The Swan]
-
A.
The Swan
chosen
The Swan is a graceful waterbird known for its long neck, white plumage in many species, and strong presence in mythology, literature, and art as a symbol of beauty and elegance.
-
B.
The Swan
The Swan is a 1956 romantic comedy film, based on Ferenc Molnár’s play, in which Louis Jourdan stars alongside Grace Kelly and Alec Guinness in a royal love triangle.
-
C.
The Swan
The Swan is the distinctive, cable-stayed Erasmus Bridge in Rotterdam, celebrated as an architectural landmark and symbol of the city.
-
D.
Swan Queen
Swan Queen is the principal ballerina role in the classical ballet "Swan Lake," most famously embodied by the character Odette.
-
E.
The Unfinished Swan
The Unfinished Swan is a surreal first-person adventure game known for its distinctive minimalist art style and exploration-focused storytelling.
- 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_69d6ab45a368819084fce08bf0dc3705 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d903dabf2c819084dcaa05ae0a6018 |
completed | April 10, 2026, 2:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f48b62cad8819092beb72c604a4762 |
completed | May 1, 2026, 11:15 a.m. |
Created at: April 8, 2026, 9:47 p.m.