Triple

T8270577
Position Surface form Disambiguated ID Type / Status
Subject Tara Lipinski E193417 entity
Predicate familyName P18 FINISHED
Object Lipinski E193417 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: Lipinski | Statement: [Tara Lipinski, familyName, Lipinski]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lipinski
Context triple: [Tara Lipinski, familyName, Lipinski]
  • A. Lipinski chosen
    Lipinski is a Polish-origin surname borne by various notable individuals in fields such as sports, music, and politics.
  • B. Eschenmoser
    Eschenmoser is a Swiss surname most notably associated with Albert Eschenmoser, a prominent organic chemist known for his pioneering work in the synthesis of complex natural products and studies on the origin of life.
  • C. Benso
    Benso is the aristocratic family name of Camillo Benso, Count of Cavour, a leading statesman of the Italian unification.
  • D. Chemmis
    Chemmis is the ancient Greek name for the Egyptian city of Akhmim, a historically significant settlement in Upper Egypt known for its temples and religious heritage.
  • E. Versonnex
    Versonnex is a small commune in the Ain department of eastern France, located near the Swiss border in the Pays de Gex 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_69ca82e14ae481908ffdb822cd2192bc completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb795243fc8190a66afef7476e1147 completed March 31, 2026, 7:35 a.m.
NED1 Entity disambiguation (via context triple) batch_69cd68470f8481909df50c5b6c3cf50c completed April 1, 2026, 6:47 p.m.
Created at: March 30, 2026, 5:50 p.m.