Triple

T14969934
Position Surface form Disambiguated ID Type / Status
Subject Don Saleski E373288 entity
Predicate familyName P18 FINISHED
Object Saleski
Saleski is a surname most notably associated with former professional ice hockey player Don Saleski.
E1130006 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: Saleski | Statement: [Don Saleski, familyName, Saleski]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Saleski
Context triple: [Don Saleski, familyName, Saleski]
  • A. Maris
    Maris is a surname most famously associated with American baseball player Roger Maris, who broke Babe Ruth’s single-season home run record in 1961.
  • B. Fielder
    Fielder is the surname of Prince Fielder, a former Major League Baseball slugger known for his power hitting and multiple All-Star selections.
  • C. Scrivens
    Scrivens is a surname most notably associated with Canadian former professional ice hockey goaltender Ben Scrivens.
  • D. Rockey
    Rockey is the surname of Keller E. Rockey, a notable United States Marine Corps general who served during World War II.
  • E. Brunson
    Brunson is a surname most prominently associated in sports with NBA All-Star point guard Jalen Brunson.
  • 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: Saleski
Triple: [Don Saleski, familyName, Saleski]
Generated description
Saleski is a surname most notably associated with former professional ice hockey player Don Saleski.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Saleski
Target entity description: Saleski is a surname most notably associated with former professional ice hockey player Don Saleski.
  • A. Maris
    Maris is a surname most famously associated with American baseball player Roger Maris, who broke Babe Ruth’s single-season home run record in 1961.
  • B. Fielder
    Fielder is the surname of Prince Fielder, a former Major League Baseball slugger known for his power hitting and multiple All-Star selections.
  • C. Scrivens
    Scrivens is a surname most notably associated with Canadian former professional ice hockey goaltender Ben Scrivens.
  • D. Rockey
    Rockey is the surname of Keller E. Rockey, a notable United States Marine Corps general who served during World War II.
  • E. Brunson
    Brunson is a surname most prominently associated in sports with NBA All-Star point guard Jalen Brunson.
  • 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_69d85ccbbcd48190acb56e7cf104d8ad completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69ded6e59a7c8190a1634a706ea68fda completed April 15, 2026, 12:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69fe8be6ce68819099f841d83c6ca33d completed May 9, 2026, 1:20 a.m.
NEDg Description generation batch_69fe8e512adc8190a1cf47f1713a968f completed May 9, 2026, 1:30 a.m.
NED2 Entity disambiguation (via description) batch_69fe8ec3d718819098629558bc007496 completed May 9, 2026, 1:32 a.m.
Created at: April 10, 2026, 2:49 a.m.