Triple

T12900844
Position Surface form Disambiguated ID Type / Status
Subject Lars Magne Ingebrigtsen E308605 entity
Predicate givenName P17 FINISHED
Object Lars Magne
Lars Magne is a Norwegian software developer best known for his work on the Gnus newsreader and contributions to the Emacs community.
E1017770 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: Lars Magne | Statement: [Lars Magne Ingebrigtsen, givenName, Lars Magne]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lars Magne
Context triple: [Lars Magne Ingebrigtsen, givenName, Lars Magne]
  • A. Sverre Magnus
    Sverre Magnus is a Norwegian prince, the son of Crown Prince Haakon and Crown Princess Mette-Marit and third in line to the Norwegian throne.
  • B. Haakon Sigurdsson
    Haakon Sigurdsson was a powerful late 10th-century Norwegian earl who effectively ruled Norway as a pagan overlord under Danish suzerainty before the country's Christianization.
  • C. Haakon
    Haakon is a Scandinavian male given name of Old Norse origin, traditionally borne by Norwegian kings and other notable figures.
  • D. Håkon
    Håkon is one of the official mascots of the 1994 Winter Olympics held in Lillehammer, Norway, depicted as a Norwegian child symbolizing the country’s heritage and Olympic spirit.
  • E. Haakon Magnus
    Haakon Magnus is the Crown Prince of Norway and heir apparent to the Norwegian throne.
  • 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: Lars Magne
Triple: [Lars Magne Ingebrigtsen, givenName, Lars Magne]
Generated description
Lars Magne is a Norwegian software developer best known for his work on the Gnus newsreader and contributions to the Emacs community.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Lars Magne
Target entity description: Lars Magne is a Norwegian software developer best known for his work on the Gnus newsreader and contributions to the Emacs community.
  • A. Sverre Magnus
    Sverre Magnus is a Norwegian prince, the son of Crown Prince Haakon and Crown Princess Mette-Marit and third in line to the Norwegian throne.
  • B. Haakon Sigurdsson
    Haakon Sigurdsson was a powerful late 10th-century Norwegian earl who effectively ruled Norway as a pagan overlord under Danish suzerainty before the country's Christianization.
  • C. Haakon
    Haakon is a Scandinavian male given name of Old Norse origin, traditionally borne by Norwegian kings and other notable figures.
  • D. Håkon
    Håkon is one of the official mascots of the 1994 Winter Olympics held in Lillehammer, Norway, depicted as a Norwegian child symbolizing the country’s heritage and Olympic spirit.
  • E. Haakon Magnus
    Haakon Magnus is the Crown Prince of Norway and heir apparent to the Norwegian throne.
  • 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_69d7bdf7c1f0819098102569a8d8cbf5 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d97180ee708190b60a3e58c42f764f completed April 10, 2026, 9:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6cbbb199081909c32575097fbc2bf completed May 3, 2026, 4:14 a.m.
NEDg Description generation batch_69f6cea882d48190add88a8463f7d544 completed May 3, 2026, 4:27 a.m.
NED2 Entity disambiguation (via description) batch_69f6cf72a0cc8190bf8b6d606b8d0987 completed May 3, 2026, 4:30 a.m.
Created at: April 9, 2026, 5:40 p.m.