Triple

T7767493
Position Surface form Disambiguated ID Type / Status
Subject Bruno Snell E178985 entity
Predicate familyName P18 FINISHED
Object Snell E259129 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: Snell | Statement: [Bruno Snell, familyName, Snell]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Snell
Context triple: [Bruno Snell, familyName, Snell]
  • A. Snell chosen
    Snell is a surname of English and German origin borne by various notable individuals in politics, science, and other fields.
  • B. Luce
    Luce is a surname most notably associated with Henry Luce, the influential American magazine magnate and co-founder of Time Inc.
  • C. Luce
    Luce is the abbreviated name of Italy’s historic Istituto Nazionale Luce, a state film and newsreel institute known for producing and distributing documentary and propaganda films.
  • D. Schlick
    Schlick is a German surname most notably associated with Moritz Schlick, a leading philosopher and founder of the Vienna Circle.
  • E. Fresnel
    Fresnel is a surname most famously associated with Augustin-Jean Fresnel, the French physicist whose pioneering work on wave optics and the Fresnel lens revolutionized the understanding and application of light.
  • 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_69c69f30602c819082ab52cd4af5c592 completed March 27, 2026, 3:16 p.m.
NER Named-entity recognition batch_69c70435b7f88190a5e68e6ae701c58f completed March 27, 2026, 10:27 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8c7e4976c81909ff34dcdcae96999 completed March 29, 2026, 6:34 a.m.
Created at: March 27, 2026, 4:11 p.m.