Triple

T22503251
Position Surface form Disambiguated ID Type / Status
Subject Danuta Stenka E556326 entity
Predicate notableWork P4 FINISHED
Object Sama przeciw wszystkim
"Sama przeciw wszystkim" is a Polish film or television production best known for featuring acclaimed actress Danuta Stenka in a prominent role.
E1541015 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: Sama przeciw wszystkim | Statement: [Danuta Stenka, notableWork, Sama przeciw wszystkim]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sama przeciw wszystkim
Context triple: [Danuta Stenka, notableWork, Sama przeciw wszystkim]
  • A. All Against All
    "All Against All" is a song by Swedish metal band The Haunted, known for its aggressive thrash-influenced sound and intense vocal delivery.
  • B. 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.
  • C. All in All
    "All in All" is a song best known as a 1978 disco and R&B hit by the American group Earth, Wind & Fire.
  • D. Thus Do They All
    "Thus Do They All" is the traditional English title of Wolfgang Amadeus Mozart’s comic opera "Così fan tutte," a work centered on love, fidelity, and romantic intrigue.
  • E. All for One
    "All for One" is a song featured on the album "The Boss."
  • 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: Sama przeciw wszystkim
Triple: [Danuta Stenka, notableWork, Sama przeciw wszystkim]
Generated description
"Sama przeciw wszystkim" is a Polish film or television production best known for featuring acclaimed actress Danuta Stenka in a prominent role.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Sama przeciw wszystkim
Target entity description: "Sama przeciw wszystkim" is a Polish film or television production best known for featuring acclaimed actress Danuta Stenka in a prominent role.
  • A. All Against All
    "All Against All" is a song by Swedish metal band The Haunted, known for its aggressive thrash-influenced sound and intense vocal delivery.
  • B. 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.
  • C. All in All
    "All in All" is a song best known as a 1978 disco and R&B hit by the American group Earth, Wind & Fire.
  • D. Thus Do They All
    "Thus Do They All" is the traditional English title of Wolfgang Amadeus Mozart’s comic opera "Così fan tutte," a work centered on love, fidelity, and romantic intrigue.
  • E. All for One
    "All for One" is a song featured on the album "The Boss."
  • 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_69e11e555edc81909ca803587dafd747 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15d5a01888190ba65a05616b63cbe completed April 29, 2026, 1:22 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0b17e66d0881908e766c3e9c2dcb18 completed May 18, 2026, 1:45 p.m.
NEDg Description generation batch_6a0b19ca1dec81909edd2ae35d77be86 completed May 18, 2026, 1:53 p.m.
NED2 Entity disambiguation (via description) batch_6a0b1ada13008190bff68ad976f1c909 completed May 18, 2026, 1:57 p.m.
Created at: April 16, 2026, 8:50 p.m.