Triple

T465633
Position Surface form Disambiguated ID Type / Status
Subject Olaf Scholz E8440 entity
Predicate givenName P17 FINISHED
Object Olaf
Olaf is a masculine given name of Old Norse origin, commonly used in Germanic and Scandinavian countries.
E57859 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: Olaf | Statement: [Olaf Scholz, givenName, Olaf]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Olaf
Context triple: [Olaf Scholz, givenName, Olaf]
  • A. Elsa
    Elsa is a feminine given name of Germanic origin, widely recognized today through its use for the main character in Disney's animated film "Frozen."
  • B. Karl Karlsson
    Karl Karlsson is the birth name of Charles XI, who was King of Sweden from 1660 to 1697 and a key consolidator of royal power in the Swedish Empire.
  • C. Nils Norman
    Nils Norman is a business figure known for co-founding the biotechnology company Biogen.
  • D. Johan
    Johan is the given first name of J. Erik Jonsson, an American businessman and philanthropist who co-founded Texas Instruments and served as mayor of Dallas.
  • E. Linus
    Linus is a given name most famously associated with Linus Pauling, the American chemist and two-time Nobel Prize laureate.
  • 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: Olaf
Triple: [Olaf Scholz, givenName, Olaf]
Generated description
Olaf is a masculine given name of Old Norse origin, commonly used in Germanic and Scandinavian countries.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Olaf
Target entity description: Olaf is a masculine given name of Old Norse origin, commonly used in Germanic and Scandinavian countries.
  • A. Elsa
    Elsa is a feminine given name of Germanic origin, widely recognized today through its use for the main character in Disney's animated film "Frozen."
  • B. Karl Karlsson
    Karl Karlsson is the birth name of Charles XI, who was King of Sweden from 1660 to 1697 and a key consolidator of royal power in the Swedish Empire.
  • C. Nils Norman
    Nils Norman is a business figure known for co-founding the biotechnology company Biogen.
  • D. Johan
    Johan is the given first name of J. Erik Jonsson, an American businessman and philanthropist who co-founded Texas Instruments and served as mayor of Dallas.
  • E. Linus
    Linus is a given name most famously associated with Linus Pauling, the American chemist and two-time Nobel Prize laureate.
  • 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_69a2e7f3aeb48190a19453e3a043f486 completed Feb. 28, 2026, 1:04 p.m.
NER Named-entity recognition batch_69a2efd6ec708190b78c7f22deb3ca64 completed Feb. 28, 2026, 1:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69a452985bb48190890711440edcf598 completed March 1, 2026, 2:52 p.m.
NEDg Description generation batch_69a45314732c8190badc93d1664aabb8 completed March 1, 2026, 2:54 p.m.
NED2 Entity disambiguation (via description) batch_69a4536262ec8190aa08f6127ff67d53 completed March 1, 2026, 2:55 p.m.
Created at: Feb. 28, 2026, 1:12 p.m.