Triple

T958826
Position Surface form Disambiguated ID Type / Status
Subject Andris Nelsons E20687 entity
Predicate givenName P17 FINISHED
Object Andris
Andris is a masculine given name commonly used in Latvia and other Baltic and Nordic countries, equivalent to Andrew in English.
E113296 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: Andris | Statement: [Andris Nelsons, givenName, Andris]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Andris
Context triple: [Andris Nelsons, givenName, Andris]
  • A. Theodor
    Theodor "Ted" Nelson is an American pioneer of information technology best known for coining the term "hypertext" and envisioning global hyperlinked document systems.
  • B. Eduard
    Eduard was the younger son of physicist Albert Einstein, known for his promising studies in psychiatry and his lifelong struggle with schizophrenia.
  • C. Jaan Kross
    Jaan Kross was a prominent Estonian writer and poet, best known for his historical novels that explore Estonia’s past and its struggles under foreign rule.
  • D. Arend
    Arend was one of the ships in the early 18th-century Dutch expedition led by explorer Jacob Roggeveen, known for his discovery of Easter Island.
  • 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: Andris
Triple: [Andris Nelsons, givenName, Andris]
Generated description
Andris is a masculine given name commonly used in Latvia and other Baltic and Nordic countries, equivalent to Andrew in English.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Andris
Target entity description: Andris is a masculine given name commonly used in Latvia and other Baltic and Nordic countries, equivalent to Andrew in English.
  • A. Theodor
    Theodor "Ted" Nelson is an American pioneer of information technology best known for coining the term "hypertext" and envisioning global hyperlinked document systems.
  • B. Eduard
    Eduard was the younger son of physicist Albert Einstein, known for his promising studies in psychiatry and his lifelong struggle with schizophrenia.
  • C. Jaan Kross
    Jaan Kross was a prominent Estonian writer and poet, best known for his historical novels that explore Estonia’s past and its struggles under foreign rule.
  • D. Arend
    Arend was one of the ships in the early 18th-century Dutch expedition led by explorer Jacob Roggeveen, known for his discovery of Easter Island.
  • 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_69a493b21f2881908132dcf45dcd2f36 completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4b3fc94ec8190b55c6cdf3a37d6b5 completed March 1, 2026, 9:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac11a212f08190ae2aad947226d09c completed March 7, 2026, 11:53 a.m.
NEDg Description generation batch_69ac131c23f08190bbdfba76728c8e9f completed March 7, 2026, 11:59 a.m.
NED2 Entity disambiguation (via description) batch_69ac139f1db48190968763d8ae34658d completed March 7, 2026, 12:01 p.m.
Created at: March 1, 2026, 7:40 p.m.