Triple

T21439221
Position Surface form Disambiguated ID Type / Status
Subject George Senesky E528892 entity
Predicate familyName P18 FINISHED
Object Senesky
Senesky is a surname most notably associated with George Senesky, an American professional basketball player and coach.
 E528892 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: Senesky | Statement: [George Senesky, familyName, Senesky]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Senesky
Context triple: [George Senesky, familyName, Senesky]
  • A. Seresin
    Seresin is a surname most notably associated with New Zealand cinematographer and film director Michael Seresin.
  • B. Seignosse
    Seignosse is a coastal commune in southwestern France known for its Atlantic beaches, surf spots, and pine forests.
  • C. Sernio
    Sernio is a small municipality in the Lombardy region of northern Italy, situated in the mountainous Valtellina area.
  • D. Faskally
    Faskally is a small settlement in Perth and Kinross, Scotland, known for its scenic woodland surroundings and proximity to Loch Faskally and the River Tummel.
  • E. Sulien
    Sulien is a Welsh saint traditionally venerated as a local holy figure associated with churches in Wales.
  • 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: Senesky
Triple: [George Senesky, familyName, Senesky]
Generated description
Senesky is a surname most notably associated with George Senesky, an American professional basketball player and coach.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Senesky
Target entity description: Senesky is a surname most notably associated with George Senesky, an American professional basketball player and coach.
  • A. Senesky chosen
    Senesky is a surname most notably associated with George Senesky, an American professional basketball player and coach in the mid-20th century.
  • B. Seresin
    Seresin is a surname most notably associated with New Zealand cinematographer and film director Michael Seresin.
  • C. Seignosse
    Seignosse is a coastal commune in southwestern France known for its Atlantic beaches, surf spots, and pine forests.
  • D. Sernio
    Sernio is a small municipality in the Lombardy region of northern Italy, situated in the mountainous Valtellina area.
  • E. Faskally
    Faskally is a small settlement in Perth and Kinross, Scotland, known for its scenic woodland surroundings and proximity to Loch Faskally and the River Tummel.
  • F. None of above.

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_69e0c4569fa081908101baa24f8745db completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69e8b6feb2e48190ba5649f16a8bbbda completed April 22, 2026, 11:54 a.m.
NED1 Entity disambiguation (via context triple) batch_6a09c8ff456481908092ae0af1297aab completed May 17, 2026, 1:56 p.m.
NEDg Description generation batch_6a09c99200a88190ad13565044dfcac0 completed May 17, 2026, 1:58 p.m.
NED2 Entity disambiguation (via description) batch_6a09ca47743081908cf7f9211eeedcc6 completed May 17, 2026, 2:01 p.m.
Created at: April 16, 2026, 6:04 p.m.