Triple
T22217781
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Javier Cámara |
E549121
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Hable con ella |
—
|
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: Hable con ella | Statement: [Javier Cámara, notableWork, Hable con ella]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hable con ella Context triple: [Javier Cámara, notableWork, Hable con ella]
-
A.
Hable con Ella
chosen
Hable con Ella is a 2002 Spanish drama film written and directed by Pedro Almodóvar that explores themes of communication, loneliness, and unconventional relationships.
-
B.
Sin ella
"Sin ella" is a Mexican film featuring actress Paola Núñez in a prominent role.
-
C.
Tell Her About It
"Tell Her About It" is a 1983 Motown-influenced pop song by Billy Joel that became a number-one hit on the Billboard Hot 100.
-
D.
To Learn Her
"To Learn Her" is a country song by Miranda Lambert from her 2016 double album *The Weight of These Wings*, reflecting on the complexities of understanding a romantic partner.
-
E.
Let Her
"Let Her" is a song featured on Esperanza Spalding’s jazz-influenced album *Radio Music Society*.
- 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_69e11e403d6481909a94d0aaf157f6ef |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f12b8ddb448190a45f0418d813afd0 |
completed | April 28, 2026, 9:50 p.m. |
Created at: April 16, 2026, 8:37 p.m.