Triple

T1638106
Position Surface form Disambiguated ID Type / Status
Subject Mueller E35403 entity
Predicate hasAnglicizedForm P3437 FINISHED
Object Miller E5201 NE FINISHED

How this triple was built (3 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: Miller | Statement: [Mueller, hasAnglicizedForm, Miller]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Miller
Context triple: [Mueller, hasAnglicizedForm, Miller]
  • A. Miller chosen
    Miller is a common English and Scottish occupational surname historically given to people who worked in grain mills.
  • B. Smith
    Smith is a common English surname borne by numerous notable individuals across diverse fields such as politics, arts, sports, and academia.
  • C. Millner
    Millner is an English occupational surname historically associated with people who made or sold hats or millinery goods.
  • D. Mill
    Mill is a village in the Dutch province of North Brabant, known for its historical sites and rural character.
  • E. Mill
    Mill is a prominent surname most famously associated with John Stuart Mill, the influential 19th-century British philosopher and political economist.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasAnglicizedForm
Context triple: [Mueller, hasAnglicizedForm, Miller]
  • A. hasEnglishName chosen
    Indicates that an entity is associated with a name expressed in the English language.
  • B. hasTwoWordForm
    Indicates that an entity is represented or expressed using a form consisting of exactly two words.
  • C. hasThreeLetterForm
    Indicates that an entity’s written or symbolic form consists of exactly three letters.
  • D. hasOfficialNameInEnglish
    Indicates that an entity has an officially recognized name expressed in the English language.
  • E. isSpokenAs
    Indicates that one entity is used as the spoken or verbal form of another entity (e.g., a word, name, or phrase).
  • F. None of above.

Provenance (4 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_69a88604618c81908b41f6429c431eb6 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69a96083e7308190abbf025fe8e43abb completed March 5, 2026, 10:52 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad8aba8d4c819098be250f8487df45 completed March 8, 2026, 2:42 p.m.
PD Predicate disambiguation batch_69a907cac610819083cafd4396b6d66c completed March 5, 2026, 4:34 a.m.
Created at: March 4, 2026, 7:28 p.m.