Triple

T20353328
Position Surface form Disambiguated ID Type / Status
Subject Jan P. Syse E496074 entity
Predicate familyName P18 FINISHED
Object Syse
Syse is a Norwegian surname most notably associated with Jan P. Syse, a former Prime Minister of Norway.
E1425134 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: Syse | Statement: [Jan P. Syse, familyName, Syse]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Syse
Context triple: [Jan P. Syse, familyName, Syse]
  • A. Syosset
    Syosset is a suburban hamlet on Long Island, New York, known for its residential character, strong school district, and commuter access to New York City.
  • B. Tysse
    Tysse is a small village in Osterøy Municipality in Vestland county, Norway, known for its scenic fjord-side setting and rural character.
  • C. Sääse
    Sääse is a residential subdistrict of the Mustamäe district in Tallinn, Estonia.
  • D. Sye
    Sye is an Oceanic language spoken in Vanuatu, belonging to the Southern Oceanic branch of the Austronesian language family.
  • E. Sye
    Sye is a 2004 Indian Telugu-language sports action film directed by S. S. Rajamouli, centered on a fierce rugby rivalry between college student groups.
  • 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: Syse
Triple: [Jan P. Syse, familyName, Syse]
Generated description
Syse is a Norwegian surname most notably associated with Jan P. Syse, a former Prime Minister of Norway.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Syse
Target entity description: Syse is a Norwegian surname most notably associated with Jan P. Syse, a former Prime Minister of Norway.
  • A. Syosset
    Syosset is a suburban hamlet on Long Island, New York, known for its residential character, strong school district, and commuter access to New York City.
  • B. Tysse
    Tysse is a small village in Osterøy Municipality in Vestland county, Norway, known for its scenic fjord-side setting and rural character.
  • C. Sääse
    Sääse is a residential subdistrict of the Mustamäe district in Tallinn, Estonia.
  • D. Sye
    Sye is an Oceanic language spoken in Vanuatu, belonging to the Southern Oceanic branch of the Austronesian language family.
  • E. Sye
    Sye is a 2004 Indian Telugu-language sports action film directed by S. S. Rajamouli, centered on a fierce rugby rivalry between college student groups.
  • 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_69e0b4a3f7f48190b37f354574028ca6 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e67851c7088190ba960a33c6dfa824 completed April 20, 2026, 7:02 p.m.
NED1 Entity disambiguation (via context triple) batch_6a086967aef88190b138be722f410e82 completed May 16, 2026, 12:56 p.m.
NEDg Description generation batch_6a0869f7b4208190858fdeae882e008d completed May 16, 2026, 12:58 p.m.
NED2 Entity disambiguation (via description) batch_6a086a893f1c81909bc40e3c4db0e147 completed May 16, 2026, 1 p.m.
Created at: April 16, 2026, 11:25 a.m.