Triple

T21439217
Position Surface form Disambiguated ID Type / Status
Subject Senesky E528892 entity
Predicate hasNotableBearer P458 FINISHED
Object George Senesky NE NERFINISHED

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: George Senesky | Statement: [Senesky, hasNotableBearer, George Senesky]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: George Senesky
Context triple: [Senesky, hasNotableBearer, George Senesky]
  • A. George Senesky chosen
    George Senesky was an American professional basketball player and coach best known for leading the Philadelphia Warriors to the 1956 NBA championship.
  • B. Leopold Pittner
    Leopold Pittner was an 18th-century music teacher and composer known primarily as an early instructor of the renowned Austrian theorist and composer Johann Georg Albrechtsberger.
  • C. Ernst Schmeitzner
    Ernst Schmeitzner was a 19th-century German publisher best known for issuing several of Friedrich Nietzsche’s early works, including "Thus Spoke Zarathustra."
  • D. Alexander Kropholler
    Alexander Kropholler was a Dutch architect known for his traditionalist designs and significant contributions to early 20th-century architecture in the Netherlands.
  • E. Ferdinand Kurlbaum
    Ferdinand Kurlbaum was a German physicist known for his pioneering work in thermal radiation and precision measurement at the turn of the 20th century.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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.
Created at: April 16, 2026, 6:04 p.m.