Triple
T16035293
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Icíar Bollaín |
E388954
|
entity |
| Predicate | screenwriterOf |
P2831
|
FINISHED |
| Object | Hola, ¿estás sola? |
E1190595
|
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: Hola, ¿estás sola? | Statement: [Icíar Bollaín, screenwriterOf, Hola, ¿estás sola?]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hola, ¿estás sola? Context triple: [Icíar Bollaín, screenwriterOf, Hola, ¿estás sola?]
-
A.
Hola, ¿estás sola?
chosen
"Hola, ¿estás sola?" is a 1995 Spanish coming-of-age road movie directed by Icíar Bollaín that follows two young women on a journey of self-discovery and independence.
-
B.
Hello!
"Hello!" is a comedic musical number from the Broadway show *The Book of Mormon*, known for its upbeat introduction of Mormon missionaries as they practice door-to-door proselytizing.
-
C.
Hello
"Hello" is a song featured in the musical production "The Circus."
-
D.
Hello
"Hello" is a globally successful power ballad by English singer Adele, known for its emotive vocals and themes of nostalgia and regret.
-
E.
Hello
"Hello" is a standout track from Erykah Badu’s mixtape *But You Caint Use My Phone*, blending her neo-soul style with phone-themed conceptual storytelling.
- 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_69ffeb893f988190a0693564bbe78ca1 |
completed | May 10, 2026, 2:20 a.m. |
Created at: April 10, 2026, 4:56 a.m.