Triple

T13109106
Position Surface form Disambiguated ID Type / Status
Subject Alicja Bachleda-Curuś E310923 entity
Predicate notableWork P4 FINISHED
Object Na dobre i na złe
Na dobre i na złe is a long-running Polish medical drama television series centered on the professional and personal lives of doctors and staff at a fictional hospital.
 E1021477 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: Na dobre i na złe | Statement: [Alicja Bachleda-Curuś, notableWork, Na dobre i na złe]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Na dobre i na złe
Context triple: [Alicja Bachleda-Curuś, notableWork, Na dobre i na złe]
  • A. Better and Worse
    "Better and Worse" is a song by the band On Purpose.
  • B. Good and Evil
    Good and Evil is a philosophical work by Martin Buber that explores the nature of morality, human freedom, and the ethical dimensions of good and evil in human relationships.
  • C. Good and Evil
    "Good and Evil" is a song by Japanese singer Rei Momo.
  • D. The Nice and the Good
    The Nice and the Good is a 1968 philosophical novel by Iris Murdoch that intertwines a murder mystery with explorations of morality, love, and human goodness in contemporary English life.
  • E. For Better or Worse
    For Better or Worse is a television comedy-drama series created by Tyler Perry that follows the turbulent relationships and personal lives of a group of couples.
  • 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: Na dobre i na złe
Triple: [Alicja Bachleda-Curuś, notableWork, Na dobre i na złe]
Generated description
Na dobre i na złe is a long-running Polish medical drama television series centered on the professional and personal lives of doctors and staff at a fictional hospital.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Na dobre i na złe
Target entity description: Na dobre i na złe is a long-running Polish medical drama television series centered on the professional and personal lives of doctors and staff at a fictional hospital.
  • A. Better and Worse
    "Better and Worse" is a song by the band On Purpose.
  • B. Good and Evil
    Good and Evil is a philosophical work by Martin Buber that explores the nature of morality, human freedom, and the ethical dimensions of good and evil in human relationships.
  • C. Good and Evil
    "Good and Evil" is a song by Japanese singer Rei Momo.
  • D. The Nice and the Good
    The Nice and the Good is a 1968 philosophical novel by Iris Murdoch that intertwines a murder mystery with explorations of morality, love, and human goodness in contemporary English life.
  • E. For Better or Worse
    For Better or Worse is a television comedy-drama series created by Tyler Perry that follows the turbulent relationships and personal lives of a group of couples.
  • 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_69d806a872d08190a329806f8ff30df4 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d9817ce07881909ec552bf861ac175 completed April 10, 2026, 11:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6e27bd8fc8190a81130b7cb3a8bd8 completed May 3, 2026, 5:51 a.m.
NEDg Description generation batch_69f6e37023d48190ba6a0b790ed23370 completed May 3, 2026, 5:56 a.m.
NED2 Entity disambiguation (via description) batch_69f6e407dd988190b928b8931985a815 completed May 3, 2026, 5:58 a.m.
Created at: April 9, 2026, 9:05 p.m.