Triple
T16035286
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Icíar Bollaín |
E388954
|
entity |
| Predicate | directed |
P7373
|
FINISHED |
| Object | Even the Rain |
E860433
|
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: Even the Rain | Statement: [Icíar Bollaín, directed, Even the Rain]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Even the Rain Context triple: [Icíar Bollaín, directed, Even the Rain]
-
A.
Even the Rain
chosen
Even the Rain is a 2010 Spanish drama film that intertwines the making of a historical movie about Christopher Columbus with contemporary protests over water privatization in Bolivia.
-
B.
Through the Rain
"Through the Rain" is a 2002 inspirational pop and R&B ballad by Mariah Carey about resilience and overcoming adversity.
-
C.
Let the Rain
"Let the Rain" is a pop song by Sara Bareilles from her album "Kaleidoscope Heart."
-
D.
The Rain
The Rain was an early Manchester band that eventually evolved into the globally successful rock group Oasis, featuring Noel Gallagher.
-
E.
The Rain
"The Rain" is a reflective nature poem by W. H. Davies that contrasts the soothing beauty of rainfall with underlying social inequality.
- 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_69d86dada3808190825d5f80d72fbe88 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e1833b84608190887dafda5d081dc0 |
completed | April 17, 2026, 12:47 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffe474f89c819086db832b793c15ed |
completed | May 10, 2026, 1:50 a.m. |
Created at: April 10, 2026, 4:56 a.m.