Triple

T20080735
Position Surface form Disambiguated ID Type / Status
Subject Chino Darín E499991 entity
Predicate notableWork P4 FINISHED
Object Voley
"Voley" is an Argentine comedy film featuring actor Chino Darín in a prominent role.
 E1410154 NE FINISHED

How this triple was built (4 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: Voley | Statement: [Chino Darín, notableWork, Voley]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Voley
Context triple: [Chino Darín, notableWork, Voley]
  • A. Tabennisi
    Tabennisi was an early Christian monastic settlement in Upper Egypt, renowned as the site where Pachomius the Great founded one of the first organized cenobitic monasteries.
  • B. Platevoet
    Platevoet is the original Dutch family name of Petrus Plancius, a notable 16th–17th century Flemish-Dutch astronomer, cartographer, and clergyman.
  • C. Mintonette
    Mintonette was the original name of the sport that later became known as volleyball, created in 1895 as a less physically demanding alternative to basketball.
  • D. Palla
    Palla is a Portuguese surname most notably associated with journalist and feminist activist Maria Antónia Palla.
  • E. Basque pelota
    Basque pelota is a traditional fast-paced ball sport from the Basque region, played by hitting a ball against a wall using the hand, a racket, or a curved basket.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
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: Voley
Triple: [Chino Darín, notableWork, Voley]
Generated description
"Voley" is an Argentine comedy film featuring actor Chino Darín in a prominent role.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Voley
Target entity description: "Voley" is an Argentine comedy film featuring actor Chino Darín in a prominent role.
  • A. Tabennisi
    Tabennisi was an early Christian monastic settlement in Upper Egypt, renowned as the site where Pachomius the Great founded one of the first organized cenobitic monasteries.
  • B. Platevoet
    Platevoet is the original Dutch family name of Petrus Plancius, a notable 16th–17th century Flemish-Dutch astronomer, cartographer, and clergyman.
  • C. Mintonette
    Mintonette was the original name of the sport that later became known as volleyball, created in 1895 as a less physically demanding alternative to basketball.
  • D. Palla
    Palla is a Portuguese surname most notably associated with journalist and feminist activist Maria Antónia Palla.
  • E. Basque pelota
    Basque pelota is a traditional fast-paced ball sport from the Basque region, played by hitting a ball against a wall using the hand, a racket, or a curved basket.
  • F. None of above. chosen

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_69da627770948190997f486f9a2e370f completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e66557c19c8190b511857490bbd423 completed April 20, 2026, 5:41 p.m.
NED1 Entity disambiguation (via context triple) batch_6a081f4590748190864820afe557d4cd completed May 16, 2026, 7:39 a.m.
NEDg Description generation batch_6a08208118c0819093dee2c851c9999f completed May 16, 2026, 7:45 a.m.
NED2 Entity disambiguation (via description) batch_6a0821637b008190a410ca9f89fecf8f completed May 16, 2026, 7:48 a.m.
Created at: April 11, 2026, 3:41 p.m.