Triple

T7503812
Position Surface form Disambiguated ID Type / Status
Subject Fons Rademakers E177333 entity
Predicate directorOf P537 FINISHED
Object Mira
Mira is a 1971 Belgian-Dutch drama film directed by Fons Rademakers, based on Stijn Streuvels’ novel "De Teleurgang van den Waterhoek."
 E670506 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: Mira | Statement: [Fons Rademakers, directorOf, Mira]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Mira
Context triple: [Fons Rademakers, directorOf, Mira]
  • A. Mira
    Mira is a coastal municipality in central Portugal known for its beaches, lagoons, and natural landscapes.
  • B. Mira
    Mira is a famous red giant variable star in the constellation Cetus, known for its dramatic changes in brightness over time.
  • C. Mira
    Mira is a town in the Veneto region of northern Italy, situated along the Brenta Canal between Venice and Padua and known for its historic Venetian villas.
  • D. Carina
    Carina is a prominent southern constellation best known for containing Canopus, the second-brightest star in the night sky.
  • E. Carina
    Carina is a feminine given name used in various cultures, often associated with meanings like “beloved” or “dear.”
  • 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: Mira
Triple: [Fons Rademakers, directorOf, Mira]
Generated description
Mira is a 1971 Belgian-Dutch drama film directed by Fons Rademakers, based on Stijn Streuvels’ novel "De Teleurgang van den Waterhoek."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Mira
Target entity description: Mira is a 1971 Belgian-Dutch drama film directed by Fons Rademakers, based on Stijn Streuvels’ novel "De Teleurgang van den Waterhoek."
  • A. Mira
    Mira is a coastal municipality in central Portugal known for its beaches, lagoons, and natural landscapes.
  • B. Mira
    Mira is a town in the Veneto region of northern Italy, situated along the Brenta Canal between Venice and Padua and known for its historic Venetian villas.
  • C. Mira
    Mira is a famous red giant variable star in the constellation Cetus, known for its dramatic changes in brightness over time.
  • D. Carina
    Carina is a prominent southern constellation best known for containing Canopus, the second-brightest star in the night sky.
  • E. Carina
    Carina is a feminine given name used in various cultures, often associated with meanings like “beloved” or “dear.”
  • 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_69c69f2696688190915a8458f2398211 completed March 27, 2026, 3:15 p.m.
NER Named-entity recognition batch_69c6f5b32c708190bb3a92d0d949304a completed March 27, 2026, 9:25 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8460be99881909cada82cf7563421 completed March 28, 2026, 9:20 p.m.
NEDg Description generation batch_69c84765ee64819082d3189c8a768455 completed March 28, 2026, 9:25 p.m.
NED2 Entity disambiguation (via description) batch_69c84828b2c48190a70f3bcd9e7554cc completed March 28, 2026, 9:29 p.m.
Created at: March 27, 2026, 3:44 p.m.