Triple

T12174090
Position Surface form Disambiguated ID Type / Status
Subject Paul Stalteri E290045 entity
Predicate familyName P18 FINISHED
Object Stalteri
Stalteri is a surname most notably associated with Canadian former professional soccer player Paul Stalteri, who played in the Bundesliga and the English Premier League.
 E969747 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: Stalteri | Statement: [Paul Stalteri, familyName, Stalteri]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Stalteri
Context triple: [Paul Stalteri, familyName, Stalteri]
  • A. Reola
    Reola is a village in Tartu County, Estonia, situated just south of the city of Tartu.
  • B. Isartor
    Isartor is one of Munich’s historic city gates, a preserved medieval structure marking the eastern entrance to the old town.
  • C. Halistra
    Halistra is a small crofting settlement on the Waternish peninsula of the Isle of Skye in Scotland.
  • D. Altilia
    Altilia is the modern Italian village that encompasses the archaeological remains of the ancient Roman town of Saepinum in the Molise region.
  • E. Erastro
    Erastro is a lovesick shepherd in Miguel de Cervantes’ pastoral novel *La Galatea*, embodying the idealized emotional turmoil typical of the genre.
  • 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: Stalteri
Triple: [Paul Stalteri, familyName, Stalteri]
Generated description
Stalteri is a surname most notably associated with Canadian former professional soccer player Paul Stalteri, who played in the Bundesliga and the English Premier League.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Stalteri
Target entity description: Stalteri is a surname most notably associated with Canadian former professional soccer player Paul Stalteri, who played in the Bundesliga and the English Premier League.
  • A. Reola
    Reola is a village in Tartu County, Estonia, situated just south of the city of Tartu.
  • B. Isartor
    Isartor is one of Munich’s historic city gates, a preserved medieval structure marking the eastern entrance to the old town.
  • C. Halistra
    Halistra is a small crofting settlement on the Waternish peninsula of the Isle of Skye in Scotland.
  • D. Altilia
    Altilia is the modern Italian village that encompasses the archaeological remains of the ancient Roman town of Saepinum in the Molise region.
  • E. Erastro
    Erastro is a lovesick shepherd in Miguel de Cervantes’ pastoral novel *La Galatea*, embodying the idealized emotional turmoil typical of the genre.
  • 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_69d6ab4d6c00819095a9a7c35de83cfb completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d915dab42881908e2580c631d4d1cf completed April 10, 2026, 3:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69f60a88b8748190a6c95e143f370010 completed May 2, 2026, 2:30 p.m.
NEDg Description generation batch_69f60bdb39f48190ad6bc51db6c34163 completed May 2, 2026, 2:36 p.m.
NED2 Entity disambiguation (via description) batch_69f60d4c30448190874f253b864ef61e completed May 2, 2026, 2:42 p.m.
Created at: April 8, 2026, 9:50 p.m.