Triple

T10886061
Position Surface form Disambiguated ID Type / Status
Subject Sisse Graum Jørgensen E257048 entity
Predicate givenName P17 FINISHED
Object Sisse
Sisse is a Danish film producer best known for her work on acclaimed international films such as "In a Better World" and "After the Wedding."
E890598 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: Sisse | Statement: [Sisse Graum Jørgensen, givenName, Sisse]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sisse
Context triple: [Sisse Graum Jørgensen, givenName, Sisse]
  • A. Sise
    Sise is a surname most notably associated with Charles Fleetford Sise, a prominent Canadian telecommunications executive and early leader of Bell Canada.
  • B. Sis
    Sis was the medieval capital city of the Armenian Kingdom of Cilicia, serving as its political and cultural center.
  • C. Sis
    Sis is a Turkish film written and directed by Zülfü Livaneli that explores political repression and personal trauma in the aftermath of the 1980 military coup in Turkey.
  • D. Sisebut
    Sisebut was an early 7th-century king of the Visigoths known for his military campaigns against the Byzantines in Hispania and his promotion of Christianity, including forced conversions of Jews.
  • E. Sitte
    Sitte is a German-language surname most notably associated with Austrian architect and urban theorist Camillo Sitte.
  • 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: Sisse
Triple: [Sisse Graum Jørgensen, givenName, Sisse]
Generated description
Sisse is a Danish film producer best known for her work on acclaimed international films such as "In a Better World" and "After the Wedding."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Sisse
Target entity description: Sisse is a Danish film producer best known for her work on acclaimed international films such as "In a Better World" and "After the Wedding."
  • A. Sise
    Sise is a surname most notably associated with Charles Fleetford Sise, a prominent Canadian telecommunications executive and early leader of Bell Canada.
  • B. Sis
    Sis was the medieval capital city of the Armenian Kingdom of Cilicia, serving as its political and cultural center.
  • C. Sis
    Sis is a Turkish film written and directed by Zülfü Livaneli that explores political repression and personal trauma in the aftermath of the 1980 military coup in Turkey.
  • D. Sisebut
    Sisebut was an early 7th-century king of the Visigoths known for his military campaigns against the Byzantines in Hispania and his promotion of Christianity, including forced conversions of Jews.
  • E. Sitte
    Sitte is a German-language surname most notably associated with Austrian architect and urban theorist Camillo Sitte.
  • 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_69d6aa848804819081b2713ca0bedf06 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d751dea1a88190b916879be8d74413 completed April 9, 2026, 7:14 a.m.
NED1 Entity disambiguation (via context triple) batch_69dff7ecf1c48190aef0d31ef03d1f88 completed April 15, 2026, 8:41 p.m.
NEDg Description generation batch_69e002709d38819099c4402d30824612 completed April 15, 2026, 9:26 p.m.
NED2 Entity disambiguation (via description) batch_69e005873ba48190b8c24c77611562fa completed April 15, 2026, 9:39 p.m.
Created at: April 8, 2026, 9:21 p.m.