Triple
T20359028
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Pier |
E496725
|
entity |
| Predicate | mainCharacter |
P1183
|
FINISHED |
| Object | Verónica |
—
|
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: Verónica | Statement: [The Pier, mainCharacter, Verónica]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Verónica Context triple: [The Pier, mainCharacter, Verónica]
-
A.
Verónica
chosen
Verónica is a Spanish horror film produced by Apaches Entertainment, known for its chilling portrayal of a teenager haunted by supernatural forces after using a Ouija board.
-
B.
Verónica
Verónica is the central protagonist of the Spanish thriller-drama series "El embarcadero," whose life becomes entangled in a complex web of love, secrets, and betrayal.
-
C.
Veronika
Veronika is the troubled young protagonist of Paulo Coelho's novel "Veronika Decides to Die," whose suicide attempt leads her to a transformative stay in a mental institution.
-
D.
Veronika
Veronika is the tragic, resilient young woman at the heart of the Soviet World War II film "The Cranes Are Flying," whose life and love are shattered by the war.
-
E.
Veronica
Veronica is the sharp-witted, disillusioned high school protagonist of the dark comedy film "Heathers."
- 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_69e0b4a3f7f48190b37f354574028ca6 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e678573fc481908bf257e6ed41d750 |
completed | April 20, 2026, 7:02 p.m. |
Created at: April 16, 2026, 11:25 a.m.