Triple

T4019455
Position Surface form Disambiguated ID Type / Status
Subject Zhan E91243 entity
Predicate hasAlternativeRomanization P5923 FINISHED
Object Jan
Jan is an alternative romanization of the name Zhan, used to represent the same underlying name in different transliteration systems.
 E405938 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: [Zhan, hasAlternativeRomanization, Jan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Jan
Context triple: [Zhan, hasAlternativeRomanization, Jan]
  • A. Jan
    Jan is the Dutch given name of Jan Peter Balkenende, the former Prime Minister of the Netherlands.
  • B. Jon
    Jon is a masculine given name, often used as a shortened form or variant of names like Jonathan or John.
  • C. Jones
    Jones is a common English-language surname borne by numerous notable individuals across fields such as entertainment, sports, politics, and science.
  • D. Jonathan
    Jonathan is a common masculine given name of Hebrew origin, meaning "Yahweh has given."
  • E. Jim
    Jim is a common English given name, typically used as a diminutive or familiar form of James.
  • 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: [Zhan, hasAlternativeRomanization, Jan]
Generated description
Jan is an alternative romanization of the name Zhan, used to represent the same underlying name in different transliteration systems.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Jan
Target entity description: Jan is an alternative romanization of the name Zhan, used to represent the same underlying name in different transliteration systems.
  • A. Jan
    Jan is the Dutch given name of Jan Peter Balkenende, the former Prime Minister of the Netherlands.
  • B. Jon
    Jon is a masculine given name, often used as a shortened form or variant of names like Jonathan or John.
  • C. Jones
    Jones is a common English-language surname borne by numerous notable individuals across fields such as entertainment, sports, politics, and science.
  • D. Jonathan
    Jonathan is a common masculine given name of Hebrew origin, meaning "Yahweh has given."
  • E. Jim
    Jim is a common English given name, typically used as a diminutive or familiar form of James.
  • 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_69aed9618b04819081750d979d2af098 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69af01994b0c8190b34af36acadad5c6 completed March 9, 2026, 5:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69b54c7cb0ec8190b7e4646a934ddb07 completed March 14, 2026, 11:54 a.m.
NEDg Description generation batch_69b54d06c7c881908b30ba813c009d25 completed March 14, 2026, 11:56 a.m.
NED2 Entity disambiguation (via description) batch_69b54d739e588190b23c06b10b4f540e completed March 14, 2026, 11:58 a.m.
Created at: March 9, 2026, 3:35 p.m.