Triple

T33966271
Position Surface form Disambiguated ID Type / Status
Subject Guillermo Francella E870861 entity
Predicate notableWork P4 FINISHED
Object El secreto de sus ojos
El secreto de sus ojos is an acclaimed Argentine crime drama film, directed by Juan José Campanella and winner of the Academy Award for Best Foreign Language Film, that blends a decades-spanning murder investigation with an unfulfilled love story.
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: [Guillermo Francella, notableWork, 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: [Guillermo Francella, notableWork, El secreto de sus ojos]
Generated description
El secreto de sus ojos is an acclaimed Argentine crime drama film, directed by Juan José Campanella and winner of the Academy Award for Best Foreign Language Film, that blends a decades-spanning murder investigation with an unfulfilled love story.

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_69f3499ce8e88190b66e1d49ad8c7037 completed April 30, 2026, 12:22 p.m.
NER Named-entity recognition batch_69f702db269c8190a1dc02228a67c290 completed May 3, 2026, 8:10 a.m.
NED1 Entity disambiguation (via context triple) batch_6a36b751114c81908fa8b2542392df1f completed June 20, 2026, 3:52 p.m.
NEDg Description generation batch_6a36b804ef888190b32868e5dcfd190c completed June 20, 2026, 3:55 p.m.
NED2 Entity disambiguation (via description) batch_6a36b88c59788190b825ae7220be3b1a completed June 20, 2026, 3:58 p.m.
Created at: May 1, 2026, 1:50 a.m.