Triple

T8656644
Position Surface form Disambiguated ID Type / Status
Subject Torgny Lindgren E205435 entity
Predicate notable work P4 FINISHED
Object Pölsan
Pölsan is a novel by Swedish author Torgny Lindgren that blends dark humor and philosophical reflection in a postwar rural setting.
 E748725 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: Pölsan | Statement: [Torgny Lindgren, notable work, Pölsan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Pölsan
Context triple: [Torgny Lindgren, notable work, Pölsan]
  • A. Poldi
    Poldi is a common German diminutive nickname for the given name Leopold.
  • B. Pakoštane
    Pakoštane is a coastal village and popular tourist destination in Croatia, situated between the Adriatic Sea and Lake Vrana.
  • C. Plopeni
    Plopeni is a small industrial town in southern Romania, located in Prahova County near the city of Ploiești.
  • D. Pochutec
    Pochutec is an extinct Uto-Aztecan language once spoken in the Pochutla region of Oaxaca, Mexico.
  • E. Bisztynek
    Bisztynek is a small historic town in northern Poland, located in the Warmian-Masurian Voivodeship and known for its traditional architecture and regional cultural heritage.
  • 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: Pölsan
Triple: [Torgny Lindgren, notable work, Pölsan]
Generated description
Pölsan is a novel by Swedish author Torgny Lindgren that blends dark humor and philosophical reflection in a postwar rural setting.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Pölsan
Target entity description: Pölsan is a novel by Swedish author Torgny Lindgren that blends dark humor and philosophical reflection in a postwar rural setting.
  • A. Poldi
    Poldi is a common German diminutive nickname for the given name Leopold.
  • B. Pakoštane
    Pakoštane is a coastal village and popular tourist destination in Croatia, situated between the Adriatic Sea and Lake Vrana.
  • C. Plopeni
    Plopeni is a small industrial town in southern Romania, located in Prahova County near the city of Ploiești.
  • D. Pochutec
    Pochutec is an extinct Uto-Aztecan language once spoken in the Pochutla region of Oaxaca, Mexico.
  • E. Bisztynek
    Bisztynek is a small historic town in northern Poland, located in the Warmian-Masurian Voivodeship and known for its traditional architecture and regional cultural heritage.
  • 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_69ca8350897c819086cde7596fbe5fe7 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc484569788190aa41395854684e6f completed March 31, 2026, 10:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69cecce40c248190b4f2b21a1ecde80b completed April 2, 2026, 8:09 p.m.
NEDg Description generation batch_69cece8c4bdc8190988990c675f50f86 completed April 2, 2026, 8:16 p.m.
NED2 Entity disambiguation (via description) batch_69cecf3a0e78819082cc7c43eceae309 completed April 2, 2026, 8:19 p.m.
Created at: March 30, 2026, 6:30 p.m.