Triple

T16894174
Position Surface form Disambiguated ID Type / Status
Subject Jerzy Skolimowski E424254 entity
Predicate notableWork P4 FINISHED
Object EO
EO is a 2022 Polish drama film directed by Jerzy Skolimowski that follows the journey of a donkey across modern Europe, offering a poignant, minimalist reflection on humanity and animal suffering.
 E1239972 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: EO | Statement: [Jerzy Skolimowski, notableWork, EO]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: EO
Context triple: [Jerzy Skolimowski, notableWork, EO]
  • A. EO
    EO is the IATA airline designator assigned to Pegas Fly, a Russian passenger airline.
  • B. ENO
    ENO is a major London-based opera company known for performing operas in English and making the art form widely accessible.
  • C. ERO
    ERO is a division of U.S. Immigration and Customs Enforcement responsible for identifying, detaining, and removing individuals who violate immigration laws.
  • D. ERO
    ERO is the ICAO airline designator assigned to Sun d'Or International Airlines, an Israeli charter carrier affiliated with El Al.
  • E. OST
    OST is the IATA airport code for Ostend–Bruges International Airport, a regional airport in Belgium serving the coastal city of Ostend and the historic city of Bruges.
  • 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: EO
Triple: [Jerzy Skolimowski, notableWork, EO]
Generated description
EO is a 2022 Polish drama film directed by Jerzy Skolimowski that follows the journey of a donkey across modern Europe, offering a poignant, minimalist reflection on humanity and animal suffering.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: EO
Target entity description: EO is a 2022 Polish drama film directed by Jerzy Skolimowski that follows the journey of a donkey across modern Europe, offering a poignant, minimalist reflection on humanity and animal suffering.
  • A. EO
    EO is the IATA airline designator assigned to Pegas Fly, a Russian passenger airline.
  • B. ENO
    ENO is a major London-based opera company known for performing operas in English and making the art form widely accessible.
  • C. ERO
    ERO is a division of U.S. Immigration and Customs Enforcement responsible for identifying, detaining, and removing individuals who violate immigration laws.
  • D. ERO
    ERO is the ICAO airline designator assigned to Sun d'Or International Airlines, an Israeli charter carrier affiliated with El Al.
  • E. OST
    OST is the IATA airport code for Ostend–Bruges International Airport, a regional airport in Belgium serving the coastal city of Ostend and the historic city of Bruges.
  • 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_69d889da3e8c8190a2b118f383f0beac completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e3c8d6bfc88190b6b47b89c1135871 completed April 18, 2026, 6:09 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00c7aa83bc8190832d2f3903ce0081 completed May 10, 2026, 6 p.m.
NEDg Description generation batch_6a00c8b9e4888190b25dd3256fc13dd1 completed May 10, 2026, 6:04 p.m.
NED2 Entity disambiguation (via description) batch_6a00c9672ab881909770b4fe551ec622 completed May 10, 2026, 6:07 p.m.
Created at: April 10, 2026, 5:29 a.m.