Triple

T3275772
Position Surface form Disambiguated ID Type / Status
Subject Nils E68753 entity
Predicate hasVariant P455 FINISHED
Object Nilsu
Nilsu is a given name, likely a variant of the Scandinavian name Nils, used as a personal name in some cultures.
E344244 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: Nilsu | Statement: [Nils, hasVariant, Nilsu]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nilsu
Context triple: [Nils, hasVariant, Nilsu]
  • A. Neilia
    Neilia was an American educator best known as the first wife of Joe Biden, who tragically died in a car accident in 1972 along with their infant daughter.
  • B. Nilsen
    Nilsen is a surname, primarily of Scandinavian origin, that serves as a variant spelling of Nelson.
  • C. Nalik
    Nalik is an Austronesian language spoken by a small community in New Ireland, Papua New Guinea.
  • D. Gulnare
    Gulnare is a central female character in Lord Byron’s narrative poem "The Corsair," known for her courage, passion, and pivotal role in the story’s dramatic events.
  • E. Tengbom
    Tengbom is a prominent Swedish architectural firm known for its influential role in shaping modern Scandinavian architecture.
  • 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: Nilsu
Triple: [Nils, hasVariant, Nilsu]
Generated description
Nilsu is a given name, likely a variant of the Scandinavian name Nils, used as a personal name in some cultures.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Nilsu
Target entity description: Nilsu is a given name, likely a variant of the Scandinavian name Nils, used as a personal name in some cultures.
  • A. Neilia
    Neilia was an American educator best known as the first wife of Joe Biden, who tragically died in a car accident in 1972 along with their infant daughter.
  • B. Nilsen
    Nilsen is a surname, primarily of Scandinavian origin, that serves as a variant spelling of Nelson.
  • C. Nalik
    Nalik is an Austronesian language spoken by a small community in New Ireland, Papua New Guinea.
  • D. Gulnare
    Gulnare is a central female character in Lord Byron’s narrative poem "The Corsair," known for her courage, passion, and pivotal role in the story’s dramatic events.
  • E. Tengbom
    Tengbom is a prominent Swedish architectural firm known for its influential role in shaping modern Scandinavian architecture.
  • 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_69ad859b54f881909bf530d549caf2fd completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb0110f1c8190ae60708b686cbbf9 completed March 8, 2026, 5:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69b2e8462a0c8190aba2330da6c49ecf completed March 12, 2026, 4:22 p.m.
NEDg Description generation batch_69b2e9448fa881909001b6c39333359f completed March 12, 2026, 4:26 p.m.
NED2 Entity disambiguation (via description) batch_69b2e9a10e2c8190ba67635ae2425470 completed March 12, 2026, 4:28 p.m.
Created at: March 8, 2026, 3:10 p.m.