Triple
T13035076
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Adieu |
E326539
|
entity |
| Predicate | hasTitleInOriginalLanguage |
P13516
|
FINISHED |
| Object | Adieu |
E326539
|
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: Adieu | Statement: [Adieu, hasTitleInOriginalLanguage, Adieu]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Adieu Context triple: [Adieu, hasTitleInOriginalLanguage, Adieu]
-
A.
Adieu
chosen
Adieu is a short story by Honoré de Balzac that forms part of his larger La Comédie humaine cycle, depicting themes of love, loss, and psychological trauma.
-
B.
Farewell
"Farewell" is a song by Rihanna from her 2011 studio album *Talk That Talk*, known as an emotional pop ballad about parting and letting go.
-
C.
Farewell
"Farewell" is a musical piece from the acclaimed "Crouching Tiger, Hidden Dragon" film score, known for its lyrical, emotionally resonant evocation of love and loss.
-
D.
Goodbye
"Goodbye" is a song by Alicia Keys from her debut studio album, *Songs in A Minor*.
-
E.
Goodbye
"Goodbye" is a jazz standard composed by Gordon Jenkins that became widely known as the Benny Goodman Orchestra’s closing theme song.
- 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_69d8076cc45c81908123123f43e69266 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d97effca908190ab89fdb034e02680 |
completed | April 10, 2026, 10:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6cbcf11f88190ab1746f973132af1 |
completed | May 3, 2026, 4:15 a.m. |
Created at: April 9, 2026, 8:55 p.m.