Triple
T22068557
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Silver Linings Playbook |
E545343
|
entity |
| Predicate | featuresFamily |
P40767
|
FINISHED |
| Object | Solitano |
—
|
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: Solitano | Statement: [Silver Linings Playbook, featuresFamily, Solitano]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Solitano Context triple: [Silver Linings Playbook, featuresFamily, Solitano]
-
A.
Solitano
chosen
Solitano is the surname of the central family in the film "Silver Linings Playbook," including the protagonist Pat Solitano portrayed by Bradley Cooper.
-
B.
Landino
Landino is an Italian surname most notably associated with the Renaissance humanist and scholar Cristoforo Landino.
-
C.
Subbiano
Subbiano is a small town and comune in the province of Arezzo in Tuscany, central Italy, situated along the Arno River.
-
D.
Lugo
Lugo is a historic town and municipality in the Emilia-Romagna region of northern Italy, known for its medieval center and the imposing Rocca Estense fortress.
-
E.
Lugo
Lugo is a historic city in northwestern Spain known for its remarkably well-preserved Roman walls, a UNESCO World Heritage Site.
- 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_69e11e344dfc81909b1d88a7221329c7 |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f12885fe04819092cdde142f91e147 |
completed | April 28, 2026, 9:37 p.m. |
Created at: April 16, 2026, 8:27 p.m.