Triple

T1985800
Position Surface form Disambiguated ID Type / Status
Subject Toomas Asser E43136 entity
Predicate givenName P17 FINISHED
Object Toomas
Toomas is a masculine given name commonly used in Estonia and other Baltic and Nordic countries, equivalent to the English name Thomas.
 E222950 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: Toomas | Statement: [Toomas Asser, givenName, Toomas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Toomas
Context triple: [Toomas Asser, givenName, Toomas]
  • A. Tomas
    Tomas is a masculine given name commonly used in various European and Latin American countries, often equivalent to "Thomas" in English.
  • B. Andris
    Andris is a masculine given name commonly used in Latvia and other Baltic and Nordic countries, equivalent to Andrew in English.
  • C. Kustavi
    Kustavi is a small coastal municipality and popular summer resort area in southwestern Finland, known for its archipelago scenery and cottage culture.
  • D. Timo
    Timo is a given name, commonly used in various European countries, that originates as a variant of the name Timothy.
  • E. Antti
    Antti is a Finnish given name, commonly used as a variant of the name Anton or Anthony.
  • 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: Toomas
Triple: [Toomas Asser, givenName, Toomas]
Generated description
Toomas is a masculine given name commonly used in Estonia and other Baltic and Nordic countries, equivalent to the English name Thomas.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Toomas
Target entity description: Toomas is a masculine given name commonly used in Estonia and other Baltic and Nordic countries, equivalent to the English name Thomas.
  • A. Tomas
    Tomas is a masculine given name commonly used in various European and Latin American countries, often equivalent to "Thomas" in English.
  • B. Andris
    Andris is a masculine given name commonly used in Latvia and other Baltic and Nordic countries, equivalent to Andrew in English.
  • C. Kustavi
    Kustavi is a small coastal municipality and popular summer resort area in southwestern Finland, known for its archipelago scenery and cottage culture.
  • D. Timo
    Timo is a given name, commonly used in various European countries, that originates as a variant of the name Timothy.
  • E. Antti
    Antti is a Finnish given name, commonly used as a variant of the name Anton or Anthony.
  • 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_69a88713ddc88190a969715658ebe7a8 completed March 4, 2026, 7:25 p.m.
NER Named-entity recognition batch_69abb8232d788190938f261fd4b2f2fd completed March 7, 2026, 5:31 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae0331eec881909463163fb71e4eba completed March 8, 2026, 11:16 p.m.
NEDg Description generation batch_69ae03e575a88190a93181eb9d9bc3eb completed March 8, 2026, 11:19 p.m.
NED2 Entity disambiguation (via description) batch_69ae0473aecc8190b3da07fb8fd18e81 completed March 8, 2026, 11:21 p.m.
Created at: March 4, 2026, 7:37 p.m.