Triple

T16399053
Position Surface form Disambiguated ID Type / Status
Subject Esa-Pekka Salonen E398261 entity
Predicate familyName P18 FINISHED
Object Salonen
Salonen is a Finnish surname most prominently associated with Esa-Pekka Salonen, the renowned conductor and composer.
 E1209654 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: Salonen | Statement: [Esa-Pekka Salonen, familyName, Salonen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Salonen
Context triple: [Esa-Pekka Salonen, familyName, Salonen]
  • A. Sala
    Sala is a small historic town in central Sweden known for its former silver mine and well-preserved wooden architecture.
  • B. Aulenti
    Aulenti is an Italian surname most notably associated with Gae Aulenti, a renowned architect and designer known for her influential museum and exhibition spaces.
  • C. Maarintalo
    Maarintalo is a notable building located in the Otaniemi campus area of Espoo, Finland, associated with Aalto University.
  • D. Salão
    Salão is a civil parish on Faial Island in Portugal’s Azores archipelago, known for its rural landscape and Atlantic coastal setting.
  • E. Säynätsalo
    Säynätsalo is a former municipality in Central Finland, now part of the city of Jyväskylä, known especially for hosting Alvar Aalto’s renowned Säynätsalo Town Hall.
  • 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: Salonen
Triple: [Esa-Pekka Salonen, familyName, Salonen]
Generated description
Salonen is a Finnish surname most prominently associated with Esa-Pekka Salonen, the renowned conductor and composer.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Salonen
Target entity description: Salonen is a Finnish surname most prominently associated with Esa-Pekka Salonen, the renowned conductor and composer.
  • A. Sala
    Sala is a small historic town in central Sweden known for its former silver mine and well-preserved wooden architecture.
  • B. Aulenti
    Aulenti is an Italian surname most notably associated with Gae Aulenti, a renowned architect and designer known for her influential museum and exhibition spaces.
  • C. Maarintalo
    Maarintalo is a notable building located in the Otaniemi campus area of Espoo, Finland, associated with Aalto University.
  • D. Salão
    Salão is a civil parish on Faial Island in Portugal’s Azores archipelago, known for its rural landscape and Atlantic coastal setting.
  • E. Säynätsalo
    Säynätsalo is a former municipality in Central Finland, now part of the city of Jyväskylä, known especially for hosting Alvar Aalto’s renowned Säynätsalo Town Hall.
  • 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_69d87f2950248190bc8ad9b9bebdc8c8 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e327cdc62481909de144b09a921e63 completed April 18, 2026, 6:42 a.m.
NED1 Entity disambiguation (via context triple) batch_6a00357838a88190be88c51f454be6eb completed May 10, 2026, 7:36 a.m.
NEDg Description generation batch_6a0035ea77dc8190bda37dac2710d0e3 completed May 10, 2026, 7:38 a.m.
NED2 Entity disambiguation (via description) batch_6a0036e53f2c81908f04a5e51870040c completed May 10, 2026, 7:42 a.m.
Created at: April 10, 2026, 5:09 a.m.