Triple

T33873562
Position Surface form Disambiguated ID Type / Status
Subject Soledad Villamil E868288 entity
Predicate actedIn P1668 FINISHED
Object El secreto de sus ojos
El secreto de sus ojos is an Argentine crime drama film, directed by Juan José Campanella and winner of the Academy Award for Best Foreign Language Film, that intertwines a decades-old murder case with themes of memory, justice, and unrequited love.
 E868286 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: El secreto de sus ojos | Statement: [Soledad Villamil, actedIn, El secreto de sus ojos]
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: El secreto de sus ojos
Triple: [Soledad Villamil, actedIn, El secreto de sus ojos]
Generated description
El secreto de sus ojos is an Argentine crime drama film, directed by Juan José Campanella and winner of the Academy Award for Best Foreign Language Film, that intertwines a decades-old murder case with themes of memory, justice, and unrequited love.

Provenance (5 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_69f34995029081909ede0f7df73d1a5e completed April 30, 2026, 12:22 p.m.
NER Named-entity recognition batch_69f701042bd081908bf58d12468987b6 completed May 3, 2026, 8:02 a.m.
NED1 Entity disambiguation (via context triple) batch_6a3692c8b69c8190b3fb2556882232b8 completed June 20, 2026, 1:16 p.m.
NEDg Description generation batch_6a369334fb908190ab369b44603e15c1 completed June 20, 2026, 1:18 p.m.
NED2 Entity disambiguation (via description) batch_6a36939d4e94819091f686c6c1abf4f4 completed June 20, 2026, 1:20 p.m.
Created at: May 1, 2026, 1:47 a.m.