Triple

T6672552
Position Surface form Disambiguated ID Type / Status
Subject Kawa E151765 entity
Predicate author P4 FINISHED
Object Per Bothner
Per Bothner is a software developer and computer scientist best known for creating the Kawa Scheme implementation for the Java platform.
E611595 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: Per Bothner | Statement: [Kawa, author, Per Bothner]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Per Bothner
Context triple: [Kawa, author, Per Bothner]
  • A. Eric Lamonsoff
    Eric Lamonsoff is a bumbling yet big-hearted family man and close friend of Lenny Feder in the Grown Ups comedy film series.
  • B. Kurt Johnstad
    Kurt Johnstad is an American screenwriter best known for writing the action films "300" and "Atomic Blonde."
  • C. Peter Amundson
    Peter Amundson is a film editor best known for his work on major Hollywood productions, including the science-fiction action film "Pacific Rim."
  • D. Scott Sundquist
    Scott Sundquist is an American drummer best known for being an early member of the Seattle grunge band Soundgarden before their rise to mainstream fame.
  • E. Martin Lindauer
    Martin Lindauer was a German behavioral biologist and prominent honeybee researcher known for his pioneering work on insect communication and social organization.
  • 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: Per Bothner
Triple: [Kawa, author, Per Bothner]
Generated description
Per Bothner is a software developer and computer scientist best known for creating the Kawa Scheme implementation for the Java platform.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Per Bothner
Target entity description: Per Bothner is a software developer and computer scientist best known for creating the Kawa Scheme implementation for the Java platform.
  • A. Eric Lamonsoff
    Eric Lamonsoff is a bumbling yet big-hearted family man and close friend of Lenny Feder in the Grown Ups comedy film series.
  • B. Kurt Johnstad
    Kurt Johnstad is an American screenwriter best known for writing the action films "300" and "Atomic Blonde."
  • C. Peter Amundson
    Peter Amundson is a film editor best known for his work on major Hollywood productions, including the science-fiction action film "Pacific Rim."
  • D. Scott Sundquist
    Scott Sundquist is an American drummer best known for being an early member of the Seattle grunge band Soundgarden before their rise to mainstream fame.
  • E. Martin Lindauer
    Martin Lindauer was a German behavioral biologist and prominent honeybee researcher known for his pioneering work on insect communication and social organization.
  • 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_69c687f71fc081909dbd45d6377f6045 completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c6b0cb78b08190923685712cbba5d8 completed March 27, 2026, 4:31 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6f79f1718819098d8a6d08bf7f919 completed March 27, 2026, 9:33 p.m.
NEDg Description generation batch_69c6f8b1e1f48190bc9058a8a21a4a62 completed March 27, 2026, 9:37 p.m.
NED2 Entity disambiguation (via description) batch_69c6f9441d74819098f0639a29fdeb5e completed March 27, 2026, 9:40 p.m.
Created at: March 27, 2026, 2:03 p.m.