Triple

T7299992
Position Surface form Disambiguated ID Type / Status
Subject John E167820 entity
Predicate hasShortForm P43 FINISHED
Object Jno.
Jno. is an abbreviated form of the given name John, commonly used in historical documents and records.
E655159 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: Jno. | Statement: [John, hasShortForm, Jno.]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jno.
Context triple: [John, hasShortForm, Jno.]
  • A. Jono
    Jono is a casual diminutive or nickname commonly used for the given name Jonathan.
  • B. Jo
    Jo is a given name used across various cultures, often as a short form of names like Joseph, Joanna, or Jonathan.
  • C. Jan
    Jan is a common Dutch given name, often used as a masculine form of "John" and borne by many notable figures in the Netherlands and other Dutch-speaking regions.
  • D. Jan
    Jan is the given name of the Dutch mathematician and philosopher Luitzen Egbertus Jan Brouwer, a founder of intuitionism in the foundations of mathematics.
  • E. Jan
    Jan is the Dutch given name of Jan Peter Balkenende, the former Prime Minister of the Netherlands.
  • 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: Jno.
Triple: [John, hasShortForm, Jno.]
Generated description
Jno. is an abbreviated form of the given name John, commonly used in historical documents and records.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Jno.
Target entity description: Jno. is an abbreviated form of the given name John, commonly used in historical documents and records.
  • A. Jono
    Jono is a casual diminutive or nickname commonly used for the given name Jonathan.
  • B. Jo
    Jo is a given name used across various cultures, often as a short form of names like Joseph, Joanna, or Jonathan.
  • C. Jan
    Jan is a common Dutch given name, often used as a masculine form of "John" and borne by many notable figures in the Netherlands and other Dutch-speaking regions.
  • D. Jan
    Jan is the given name of the Dutch mathematician and philosopher Luitzen Egbertus Jan Brouwer, a founder of intuitionism in the foundations of mathematics.
  • E. Jan
    Jan is the Dutch given name of Jan Peter Balkenende, the former Prime Minister of the Netherlands.
  • 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_69c6888c820881909fc68f689fe1c251 completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6ebaef4a081908fadc6d5e2621e80 completed March 27, 2026, 8:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7e550645c819085effd46dff60f09 completed March 28, 2026, 2:27 p.m.
NEDg Description generation batch_69c7e67a988881909b3d53ab8da43a8e completed March 28, 2026, 2:32 p.m.
NED2 Entity disambiguation (via description) batch_69c7e71dc39c8190951424cb543d58df completed March 28, 2026, 2:35 p.m.
Created at: March 27, 2026, 3:01 p.m.