Triple

T596022
Position Surface form Disambiguated ID Type / Status
Subject Freeman Dyson E17384 entity
Predicate familyName P18 FINISHED
Object Dyson E17384 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: Dyson | Statement: [Freeman Dyson, familyName, Dyson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dyson
Context triple: [Freeman Dyson, familyName, Dyson]
  • A. Dyson chosen
    Dyson is a surname most famously associated with theoretical physicist and mathematician Freeman Dyson, known for his influential work in quantum electrodynamics and futurism.
  • B. Braun
    Braun is a German surname most infamously associated with Eva Braun, the longtime companion and brief wife of Adolf Hitler.
  • C. Bose
    Bose is a common Indian surname most prominently associated with physicist Satyendra Nath Bose, whose work led to the concept of bosons and Bose–Einstein statistics.
  • D. Blomberg
    Blomberg is a small town in the Lippe district of North Rhine-Westphalia, Germany, known as the birthplace of former German chancellor Gerhard Schröder.
  • E. Rockwell
    Rockwell is the surname of Norman Rockwell, the iconic American painter and illustrator renowned for his depictions of everyday life in the United States.
  • 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_69a49379d09c8190ac7e00b24e2810b1 completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a49bd3e5e08190be95cb2009aad42d completed March 1, 2026, 8:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69a518c61744819090ccc037d61a61b1 completed March 2, 2026, 4:57 a.m.
Created at: March 1, 2026, 7:33 p.m.