Triple
T15042849
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sapho |
E378643
|
entity |
| Predicate | mainCharacter |
P1183
|
FINISHED |
| Object | Sapho |
E999140
|
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: Sapho | Statement: [Sapho, mainCharacter, Sapho]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sapho Context triple: [Sapho, mainCharacter, Sapho]
-
A.
Sapho
Sapho is an 1851 French opera by Charles Gounod, inspired by the life and legend of the ancient Greek poet Sappho.
-
B.
Sapho
chosen
Sapho is an opera by French composer Jules Massenet, based on Alphonse Daudet’s novel about a Parisian artist’s tragic love affair with a young provincial man.
-
C.
Sybylla
Sybylla is the spirited, independent-minded young heroine and narrator of Miles Franklin’s classic Australian novel "My Brilliant Career."
-
D.
Désir
Désir is a French surname borne by various notable individuals, including politicians and public figures.
-
E.
The Art of Love
The Art of Love is a didactic elegiac poem by the Roman poet Ovid that offers witty, often irreverent advice on the arts of seduction and romantic intrigue.
- 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_69d85cd46b2c819090d054c27787f677 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded82f73208190bb55fa6b20074e27 |
completed | April 15, 2026, 12:13 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe9de388508190bb0ecc04740cbe15 |
completed | May 9, 2026, 2:37 a.m. |
Created at: April 10, 2026, 3 a.m.