Triple

T1430850
Position Surface form Disambiguated ID Type / Status
Subject Pauley E30440 entity
Predicate hasVariantSpelling P457 FINISHED
Object Pauly E26671 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: Pauly | Statement: [Pauley, hasVariantSpelling, Pauly]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pauly
Context triple: [Pauley, hasVariantSpelling, Pauly]
  • A. Paulie chosen
    Paulie is a familiar diminutive form of the given name Paul, often used as an affectionate nickname.
  • B. Pete
    Pete is the nickname of Grover Cleveland Alexander, a Hall of Fame Major League Baseball pitcher and one of the greatest hurlers of the early 20th century.
  • C. Pete
    Pete is a common masculine given name, typically used as a familiar or informal form of the name Peter.
  • D. Uncle Paul
    Uncle Paul is an affectionate English nickname most famously associated with "Oom Paul," the popular moniker of South African Boer leader and former Transvaal president Paul Kruger.
  • E. Rodney
    Rodney is the middle name of James R. Schlesinger, a prominent American economist and government official who served as U.S. Secretary of Defense and the first Secretary of Energy.
  • 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_69a498fc69ec8190b61722bd4b67c4d2 completed March 1, 2026, 7:52 p.m.
NER Named-entity recognition batch_69a4c4dc3e2081909ff951fe73db277b completed March 1, 2026, 10:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69ad08b5ba94819092e66e8dfd6bf87d completed March 8, 2026, 5:27 a.m.
Created at: March 1, 2026, 8 p.m.