Triple
T7423960
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rent |
E171321
|
entity |
| Predicate | basedOn |
P98
|
FINISHED |
| Object | La bohème |
E293839
|
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: La bohème | Statement: [Rent, basedOn, La bohème]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: La bohème Context triple: [Rent, basedOn, La bohème]
-
A.
La Bohème
La Bohème is a 1926 silent romantic drama film directed by King Vidor, adapted from Henri Murger’s "Scènes de la vie de bohème" and best known for its tragic love story set among struggling artists in Paris.
-
B.
La Bohème
chosen
La Bohème is a renowned Italian opera in four acts that poignantly portrays the lives and loves of struggling artists in 19th-century Paris.
-
C.
Bohème
Bohème is a Montblanc luxury collection known for its elegant, feminine design in fine writing instruments, watches, and accessories.
-
D.
Ma Bohème
Ma Bohème is a lyrical poem by Arthur Rimbaud that reflects his youthful wanderings, bohemian lifestyle, and visionary approach to poetry.
-
E.
A Street Scene
A Street Scene is a painting by British artist L. S. Lowry that depicts everyday urban life with his characteristic industrial landscapes and stylized “matchstick” figures.
- 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_69c68a625d048190af70eb8b63bec5a0 |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f2eece588190905774e7151edcb8 |
completed | March 27, 2026, 9:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c81effc488819086336eea92604fa8 |
completed | March 28, 2026, 6:33 p.m. |
Created at: March 27, 2026, 3:12 p.m.