Triple

T258956
Position Surface form Disambiguated ID Type / Status
Subject Timothy E5498 entity
Predicate hasVariant P455 FINISHED
Object Timo
Timo is a given name, commonly used in various European countries, that originates as a variant of the name Timothy.
 E42006 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: Timo | Statement: [Timothy, hasVariant, Timo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Timo
Context triple: [Timothy, hasVariant, Timo]
  • A. Johan
    Johan is the given first name of J. Erik Jonsson, an American businessman and philanthropist who co-founded Texas Instruments and served as mayor of Dallas.
  • B. Timothy
    Timothy is the given first name of Sir Tim Berners-Lee, the British computer scientist who invented the World Wide Web.
  • C. Timothy
    Timothy is a prominent early Christian companion and protégé of the Apostle Paul, known from the New Testament for his missionary work and pastoral leadership.
  • D. Erwin
    Erwin is a masculine given name of German origin, historically associated with figures such as the World War II field marshal Erwin Rommel.
  • E. Andreas
    Andreas is a masculine given name of Greek origin, commonly used in various European and international cultures.
  • 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: Timo
Triple: [Timothy, hasVariant, Timo]
Generated description
Timo is a given name, commonly used in various European countries, that originates as a variant of the name Timothy.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Timo
Target entity description: Timo is a given name, commonly used in various European countries, that originates as a variant of the name Timothy.
  • A. Johan
    Johan is the given first name of J. Erik Jonsson, an American businessman and philanthropist who co-founded Texas Instruments and served as mayor of Dallas.
  • B. Timothy
    Timothy is the given first name of Sir Tim Berners-Lee, the British computer scientist who invented the World Wide Web.
  • C. Timothy
    Timothy is a prominent early Christian companion and protégé of the Apostle Paul, known from the New Testament for his missionary work and pastoral leadership.
  • D. Erwin
    Erwin is a masculine given name of German origin, historically associated with figures such as the World War II field marshal Erwin Rommel.
  • E. Andreas
    Andreas is a masculine given name of Greek origin, commonly used in various European and international cultures.
  • 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_69a2580a64ac8190ad76e34bb0715b5e completed Feb. 28, 2026, 2:50 a.m.
NER Named-entity recognition batch_69a25d71a10c8190894c86e7a67c5974 completed Feb. 28, 2026, 3:13 a.m.
NED1 Entity disambiguation (via context triple) batch_69a3cfe55c4c81908521c5161f0d844b completed March 1, 2026, 5:34 a.m.
NEDg Description generation batch_69a3d0a036308190aa0627ce3ef105de completed March 1, 2026, 5:37 a.m.
NED2 Entity disambiguation (via description) batch_69a3d125242c81908034f58a8dbcc52f completed March 1, 2026, 5:39 a.m.
Created at: Feb. 28, 2026, 2:55 a.m.