Triple
T23487895
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Voltage Pictures |
E570587
|
entity |
| Predicate | produced |
P490
|
FINISHED |
| Object | After Ever Happy |
—
|
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: After Ever Happy | Statement: [Voltage Pictures, produced, After Ever Happy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: After Ever Happy Context triple: [Voltage Pictures, produced, After Ever Happy]
-
A.
After Ever Happy
chosen
After Ever Happy is a romantic drama film in the "After" series, continuing the tumultuous love story of Tessa Young and Hardin Scott.
-
B.
Another Happy Day
Another Happy Day is a 2011 independent drama film about a dysfunctional family reunion, noted for its darkly comedic tone and Ellen Barkin’s acclaimed lead performance.
-
C.
Be Happy
"Be Happy" is a song featured on the album *My Life*, likely contributing an uplifting or optimistic theme to the record.
-
D.
Long Way to Happy
"Long Way to Happy" is a song by Pink from her album "I'm Not Dead," known for its emotionally charged lyrics about trauma and resilience.
-
E.
Getting to Happy
Getting to Happy is a 2010 novel by Terry McMillan that revisits the lives of the four friends from Waiting to Exhale as they navigate middle age, love, loss, and personal renewal.
- 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_69e245b0b01481908f636939bedd804c |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f1a7d9cc08819084c532b069f867ee |
completed | April 29, 2026, 6:40 a.m. |
Created at: April 17, 2026, 6:04 p.m.