Triple
T22198857
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Juno (2007 film) |
E548619
|
entity |
| Predicate | mainCharacter |
P1183
|
FINISHED |
| Object | Juno MacGuff |
—
|
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: Juno MacGuff | Statement: [Juno (2007 film), mainCharacter, Juno MacGuff]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Juno MacGuff Context triple: [Juno (2007 film), mainCharacter, Juno MacGuff]
-
A.
Juno MacGuff
chosen
Juno MacGuff is the witty, independent, and unexpectedly pregnant teenage protagonist of the 2007 film "Juno," known for her sharp dialogue and emotional maturity.
-
B.
Juno Wright
Juno Wright is a child of British actress and singer Carmen Ejogo.
-
C.
Juno Boyle
Juno Boyle is the resilient, long-suffering matriarch in Seán O’Casey’s play "Juno and the Paycock," embodying strength and practicality amid family and political turmoil in Dublin.
-
D.
Leslie
Leslie is the given first name of American jazz pianist and vocalist Les McCann.
-
E.
Leslie
Leslie is a Toronto subway station on Line 4 Sheppard in the city's transit system.
- 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_69e11e3ecc7c8190b5f94cd8f42e9d37 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f12ae98808819081582a57bca6312b |
completed | April 28, 2026, 9:47 p.m. |
Created at: April 16, 2026, 8:36 p.m.