Triple

T15945167
Position Surface form Disambiguated ID Type / Status
Subject Dizi E386665 entity
Predicate altName P39 FINISHED
Object Sizi
Sizi is an alternative name for the Turkish television series "Dizi."
E1185235 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: Sizi | Statement: [Dizi, altName, Sizi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sizi
Context triple: [Dizi, altName, Sizi]
  • A. Sinuessa
    Sinuessa was an ancient Roman coastal town in Campania, Italy, known for its strategic location along major roads and its nearby thermal baths.
  • B. Saisiyat
    The Saisiyat are one of Taiwan’s indigenous Austronesian-speaking peoples, known for their distinctive culture and the legendary Pasta’ay (Dwarf) ritual.
  • C. Sitte
    Sitte is a German-language surname most notably associated with Austrian architect and urban theorist Camillo Sitte.
  • 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. Sise
    Sise is a surname most notably associated with Charles Fleetford Sise, a prominent Canadian telecommunications executive and early leader of Bell Canada.
  • 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: Sizi
Triple: [Dizi, altName, Sizi]
Generated description
Sizi is an alternative name for the Turkish television series "Dizi."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Sizi
Target entity description: Sizi is an alternative name for the Turkish television series "Dizi."
  • A. Sinuessa
    Sinuessa was an ancient Roman coastal town in Campania, Italy, known for its strategic location along major roads and its nearby thermal baths.
  • B. Saisiyat
    The Saisiyat are one of Taiwan’s indigenous Austronesian-speaking peoples, known for their distinctive culture and the legendary Pasta’ay (Dwarf) ritual.
  • C. Sitte
    Sitte is a German-language surname most notably associated with Austrian architect and urban theorist Camillo Sitte.
  • 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. Sise
    Sise is a surname most notably associated with Charles Fleetford Sise, a prominent Canadian telecommunications executive and early leader of Bell Canada.
  • 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_69d86da882448190a82ea962fe343b79 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e156d0d55c8190af59ff169e8add78 completed April 16, 2026, 9:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffb5beabbc8190977f14c1b3ccdf29 completed May 9, 2026, 10:31 p.m.
NEDg Description generation batch_69ffb677927c8190bd45e7bae5fcf1ed completed May 9, 2026, 10:34 p.m.
NED2 Entity disambiguation (via description) batch_69ffb7468fb88190a56cf1df5bd20f63 completed May 9, 2026, 10:37 p.m.
Created at: April 10, 2026, 4:53 a.m.