Triple

T17991139
Position Surface form Disambiguated ID Type / Status
Subject Ivan E430373 entity
Predicate relationshipWith P10260 FINISHED
Object Adam Pedersen
Adam Pedersen is an individual known primarily in relation to someone named Ivan, though no widely recognized public information about him is available.
E1300407 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: Adam Pedersen | Statement: [Ivan, relationshipWith, Adam Pedersen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Adam Pedersen
Context triple: [Ivan, relationshipWith, Adam Pedersen]
  • A. Soren Christensen
    Soren Christensen is a writer best known for his work on the song "Love Generation."
  • B. Rasmus Hedegaard
    Rasmus Hedegaard is a Danish DJ and music producer known for his electronic and pop-oriented remixes and collaborations.
  • C. Daniel Petersen
    Daniel Petersen is the son of acclaimed German film director Wolfgang Petersen.
  • D. Jesper Rasmussen
    Jesper Rasmussen is a Danish professional footballer known for playing as a forward in Denmark’s top leagues.
  • E. Markus Rygaard
    Markus Rygaard is a Danish actor best known for his leading role as a troubled schoolboy in the Oscar-winning film "In a Better World."
  • 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: Adam Pedersen
Triple: [Ivan, relationshipWith, Adam Pedersen]
Generated description
Adam Pedersen is an individual known primarily in relation to someone named Ivan, though no widely recognized public information about him is available.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Adam Pedersen
Target entity description: Adam Pedersen is an individual known primarily in relation to someone named Ivan, though no widely recognized public information about him is available.
  • A. Soren Christensen
    Soren Christensen is a writer best known for his work on the song "Love Generation."
  • B. Rasmus Hedegaard
    Rasmus Hedegaard is a Danish DJ and music producer known for his electronic and pop-oriented remixes and collaborations.
  • C. Daniel Petersen
    Daniel Petersen is the son of acclaimed German film director Wolfgang Petersen.
  • D. Jesper Rasmussen
    Jesper Rasmussen is a Danish professional footballer known for playing as a forward in Denmark’s top leagues.
  • E. Markus Rygaard
    Markus Rygaard is a Danish actor best known for his leading role as a troubled schoolboy in the Oscar-winning film "In a Better World."
  • 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_69d8b90364248190a37381adea932f42 completed April 10, 2026, 8:46 a.m.
NER Named-entity recognition batch_69e4b29f127c81908b0c4cb3787e002c completed April 19, 2026, 10:46 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0337ae62588190b1a6464fb703cc8f completed May 12, 2026, 2:22 p.m.
NEDg Description generation batch_6a033ca6a2608190a391694153070cc8 completed May 12, 2026, 2:43 p.m.
NED2 Entity disambiguation (via description) batch_6a033d6bf3f48190ac141febc04608f6 completed May 12, 2026, 2:47 p.m.
Created at: April 10, 2026, 10:23 a.m.