Triple

T2089330
Position Surface form Disambiguated ID Type / Status
Subject Fredrik Meltzer E32630 entity
Predicate givenName P17 FINISHED
Object Fredrik
Fredrik is a masculine given name of Scandinavian origin, commonly used in Norway, Sweden, and Denmark.
E231075 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: Fredrik | Statement: [Fredrik Meltzer, givenName, Fredrik]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fredrik
Context triple: [Fredrik Meltzer, givenName, Fredrik]
  • A. Henrik
    Henrik is the given name of the renowned Norwegian mathematician Niels Henrik Abel, known for his pioneering work in algebra and analysis.
  • B. Olof
    Olof is a Scandinavian male given name, particularly common in Sweden and Norway, derived from Old Norse and borne by various notable historical and cultural figures.
  • C. 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.
  • D. Pehr
    Pehr is a masculine given name of Scandinavian origin, notably borne by Finnish statesman P. E. Svinhufvud.
  • E. Morten
    Morten is a masculine given name commonly used in Scandinavian countries, derived from the Latin name Martinus.
  • 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: Fredrik
Triple: [Fredrik Meltzer, givenName, Fredrik]
Generated description
Fredrik is a masculine given name of Scandinavian origin, commonly used in Norway, Sweden, and Denmark.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Fredrik
Target entity description: Fredrik is a masculine given name of Scandinavian origin, commonly used in Norway, Sweden, and Denmark.
  • A. Henrik
    Henrik is the given name of the renowned Norwegian mathematician Niels Henrik Abel, known for his pioneering work in algebra and analysis.
  • B. Olof
    Olof is a Scandinavian male given name, particularly common in Sweden and Norway, derived from Old Norse and borne by various notable historical and cultural figures.
  • C. 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.
  • D. Pehr
    Pehr is a masculine given name of Scandinavian origin, notably borne by Finnish statesman P. E. Svinhufvud.
  • E. Morten
    Morten is a masculine given name commonly used in Scandinavian countries, derived from the Latin name Martinus.
  • 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_69a885eba0708190999696a45cbec816 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69abba730a5c8190a85be72149574d79 completed March 7, 2026, 5:41 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae2744d8108190b551a970956914c4 completed March 9, 2026, 1:49 a.m.
NEDg Description generation batch_69ae27c0cc40819093dcbcb34e12ada2 completed March 9, 2026, 1:52 a.m.
NED2 Entity disambiguation (via description) batch_69ae2819ec2481908652e9165d1a6636 completed March 9, 2026, 1:53 a.m.
Created at: March 4, 2026, 7:43 p.m.