Triple

T12116414
Position Surface form Disambiguated ID Type / Status
Subject Larry Csonka E288573 entity
Predicate familyName P18 FINISHED
Object Csonka E288573 NE FINISHED

How this triple was built (2 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: Csonka | Statement: [Larry Csonka, familyName, Csonka]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Csonka
Context triple: [Larry Csonka, familyName, Csonka]
  • A. Csonka chosen
    Csonka is a surname most famously associated with Larry Csonka, the Hall of Fame former NFL fullback for the Miami Dolphins.
  • B. Kockasti
    Kockasti is the popular nickname of the Croatia men's national basketball team, referencing the iconic red-and-white checkered pattern associated with Croatian sports.
  • C. Nysa Szalona
    Nysa Szalona is a river in southwestern Poland that serves as a tributary of the Nysa Kłodzka.
  • D. Ossuccio
    Ossuccio is a small lakeside locality on the western shore of Lake Como in northern Italy, known for its scenic setting opposite the historic Isola Comacina.
  • E. Sparnacien
    Sparnacien is the French demonym for an inhabitant of the town of Épernay in the Champagne region.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d6ab4a5c448190a110d1273314b21a completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d9156921dc8190aa132b0ab3a7c184 completed April 10, 2026, 3:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69f5f67f9c30819089305d5d42210c34 completed May 2, 2026, 1:05 p.m.
Created at: April 8, 2026, 9:49 p.m.