Triple
T19289122
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Norberto Bobbio |
E482391
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Left and Right |
—
|
NE NERFINISHED |
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: Left and Right | Statement: [Norberto Bobbio, notableWork, Left and Right]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Left and Right Context triple: [Norberto Bobbio, notableWork, Left and Right]
-
A.
Left and Right
"Left and Right" is a 2022 pop single by Charlie Puth featuring Jungkook of BTS, known for its catchy melody and stereo-themed production.
-
B.
Left and Right
chosen
Left and Right is a political philosophy book by Norberto Bobbio that analyzes the enduring ideological distinction between left-wing and right-wing politics.
-
C.
Right and Left
"Right and Left" is a 1909 oil painting by American artist Winslow Homer depicting two ducks at the moment they are shot in mid-flight, noted for its dramatic composition and exploration of mortality.
-
D.
Left & Right
Left & Right is a track featured on the 2000 album "Voodoo" by American R&B artist D'Angelo.
-
E.
Left, Right
"Left, Right" is a song released as the follow-up single to "Who Do You Love?".
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8e8cf61b0819096fe3e4107827c4e |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e5fc043fa481909bbe281a70fb508e |
completed | April 20, 2026, 10:12 a.m. |
Created at: April 10, 2026, 1:30 p.m.