Triple

T4555066
Position Surface form Disambiguated ID Type / Status
Subject Rasmus Lerdorf E120460 entity
Predicate givenName P17 FINISHED
Object Rasmus
Rasmus is a masculine given name of Scandinavian origin, commonly used in countries such as Denmark, Norway, and Sweden.
 E452776 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: Rasmus | Statement: [Rasmus Lerdorf, givenName, Rasmus]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Rasmus
Context triple: [Rasmus Lerdorf, givenName, Rasmus]
  • A. Niklas
    Niklas is a masculine given name commonly used in Germanic and Scandinavian countries, derived from the Greek name Nikolaos.
  • B. Mathias
    Mathias is a surname most notably associated with Bob Mathias, the American decathlete and two-time Olympic gold medalist.
  • C. Jens
    Jens is a masculine given name commonly used in Scandinavian and German-speaking countries, equivalent to "John" in English.
  • D. Morten
    Morten is a masculine given name commonly used in Scandinavian countries, derived from the Latin name Martinus.
  • E. Killian Marcus Nielsen
    Killian Marcus Nielsen is one of the children of Danish actress and model Brigitte Nielsen.
  • 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: Rasmus
Triple: [Rasmus Lerdorf, givenName, Rasmus]
Generated description
Rasmus is a masculine given name of Scandinavian origin, commonly used in countries such as Denmark, Norway, and Sweden.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Rasmus
Target entity description: Rasmus is a masculine given name of Scandinavian origin, commonly used in countries such as Denmark, Norway, and Sweden.
  • A. Niklas
    Niklas is a masculine given name commonly used in Germanic and Scandinavian countries, derived from the Greek name Nikolaos.
  • B. Mathias
    Mathias is a surname most notably associated with Bob Mathias, the American decathlete and two-time Olympic gold medalist.
  • C. Jens
    Jens is a masculine given name commonly used in Scandinavian and German-speaking countries, equivalent to "John" in English.
  • D. Morten
    Morten is a masculine given name commonly used in Scandinavian countries, derived from the Latin name Martinus.
  • E. Killian Marcus Nielsen
    Killian Marcus Nielsen is one of the children of Danish actress and model Brigitte Nielsen.
  • 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_69bd4636f1648190a701445c2fcd9c17 completed March 20, 2026, 1:05 p.m.
NER Named-entity recognition batch_69bd5813af948190b10b02dadf6496bf completed March 20, 2026, 2:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69bdc57d59f88190857cbda79caf3c38 completed March 20, 2026, 10:09 p.m.
NEDg Description generation batch_69bdc8a14ca88190b4104c113e150edd completed March 20, 2026, 10:22 p.m.
NED2 Entity disambiguation (via description) batch_69bdc95f7064819081c69df00a869c31 completed March 20, 2026, 10:25 p.m.
Created at: March 20, 2026, 1:09 p.m.