Triple

T4494104
Position Surface form Disambiguated ID Type / Status
Subject Janson E100650 entity
Predicate isPatronymicFormOf P7966 FINISHED
Object Jan
Jan is a given name commonly used in various European countries, often as a form of John.
 E103749 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: Jan | Statement: [Janson, isPatronymicFormOf, Jan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Jan
Context triple: [Janson, isPatronymicFormOf, Jan]
  • A. Jan
    Jan is the Dutch given name of Jan Peter Balkenende, the former Prime Minister of the Netherlands.
  • B. Jan
    Jan is an alternative romanization of the name Zhan, used to represent the same underlying name in different transliteration systems.
  • C. Jan
    Jan is a fictional character appearing in the Traveling Wilburys’ song “Tweeter and the Monkey Man,” which tells a noir-style crime story.
  • D. Jon
    Jon is a masculine given name, often used as a shortened form or variant of names like Jonathan or John.
  • E. Jones
    Jones is a common English-language surname borne by numerous notable individuals across fields such as entertainment, sports, politics, and science.
  • 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: Jan
Triple: [Janson, isPatronymicFormOf, Jan]
Generated description
Jan is a given name commonly used in various European countries, often as a form of John.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Jan
Target entity description: Jan is a given name commonly used in various European countries, often as a form of John.
  • A. Jan chosen
    Jan is the Dutch given name of Jan Peter Balkenende, the former Prime Minister of the Netherlands.
  • B. Jan
    Jan is an alternative romanization of the name Zhan, used to represent the same underlying name in different transliteration systems.
  • C. Jan
    Jan is a fictional character appearing in the Traveling Wilburys’ song “Tweeter and the Monkey Man,” which tells a noir-style crime story.
  • D. Jon
    Jon is a masculine given name, often used as a shortened form or variant of names like Jonathan or John.
  • E. Jones
    Jones is a common English-language surname borne by numerous notable individuals across fields such as entertainment, sports, politics, and science.
  • F. None of above.

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_69bd43cdf15081909a4fa2585ff63b3e completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd5572c60881909101b4e65dd5de06 completed March 20, 2026, 2:10 p.m.
NED1 Entity disambiguation (via context triple) batch_69bd67ba4d4881909fe32902507bcbe3 completed March 20, 2026, 3:28 p.m.
NEDg Description generation batch_69bd68d76cfc819083071015add540dc completed March 20, 2026, 3:33 p.m.
NED2 Entity disambiguation (via description) batch_69bd698f0f148190ae3ad5193cba0851 completed March 20, 2026, 3:36 p.m.
Created at: March 20, 2026, 1 p.m.