Triple

T4438426
Position Surface form Disambiguated ID Type / Status
Subject Holger Crafoord E95709 entity
Predicate givenName P17 FINISHED
Object Holger
Holger is a masculine given name of Scandinavian origin, commonly used in countries such as Sweden and Denmark.
E439181 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: Holger | Statement: [Holger Crafoord, givenName, Holger]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Holger
Context triple: [Holger Crafoord, givenName, Holger]
  • A. Johan
    Johan is the given first name of the Swedish playwright and novelist August Strindberg.
  • B. 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.
  • C. Henrik
    Henrik is the given name of the renowned Norwegian mathematician Niels Henrik Abel, known for his pioneering work in algebra and analysis.
  • D. Sven
    Sven is the lovable reindeer companion in Disney's animated film "Frozen," known for his close bond with Kristoff and his expressive, dog-like personality.
  • E. Detlev
    Detlev is a masculine given name of German origin, historically borne by several notable figures in science and academia.
  • 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: Holger
Triple: [Holger Crafoord, givenName, Holger]
Generated description
Holger is a masculine given name of Scandinavian origin, commonly used in countries such as Sweden and Denmark.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Holger
Target entity description: Holger is a masculine given name of Scandinavian origin, commonly used in countries such as Sweden and Denmark.
  • A. Johan
    Johan is the given first name of the Swedish playwright and novelist August Strindberg.
  • B. 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.
  • C. Henrik
    Henrik is the given name of the renowned Norwegian mathematician Niels Henrik Abel, known for his pioneering work in algebra and analysis.
  • D. Sven
    Sven is the lovable reindeer companion in Disney's animated film "Frozen," known for his close bond with Kristoff and his expressive, dog-like personality.
  • E. Detlev
    Detlev is a masculine given name of German origin, historically borne by several notable figures in science and academia.
  • 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_69b3453ea2b48190a26f154b3b8fece5 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b3558c75948190875a5fb10eac0597 completed March 13, 2026, 12:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69b6137960908190814cbdf0b4e56542 completed March 15, 2026, 2:03 a.m.
NEDg Description generation batch_69b6143adefc81908f6c639906e0fd1a completed March 15, 2026, 2:06 a.m.
NED2 Entity disambiguation (via description) batch_69b614b00dbc8190a7ea0477bedbc96a completed March 15, 2026, 2:08 a.m.
Created at: March 12, 2026, 11:31 p.m.