Triple

T13822721
Position Surface form Disambiguated ID Type / Status
Subject On Beauty E332174 entity
Predicate relatedWork P37 FINISHED
Object History of Beauty E1063329 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: History of Beauty | Statement: [On Beauty, relatedWork, History of Beauty]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: History of Beauty
Context triple: [On Beauty, relatedWork, History of Beauty]
  • A. History of Beauty chosen
    History of Beauty is a critical and historical exploration of aesthetic ideals and concepts of beauty across different cultures and eras, edited and curated by Umberto Eco.
  • B. Beauty CULTure
    Beauty CULTure is a photography exhibition that critically explores the ideals, pressures, and industry surrounding modern concepts of female beauty.
  • C. The Persis Khambatta Book of Beauty
    The Persis Khambatta Book of Beauty is a beauty and grooming guide authored by Indian model and actress Persis Khambatta, offering tips on skincare, makeup, fitness, and personal style.
  • D. Body’s Beauty
    "Body’s Beauty" is a sonnet by Dante Gabriel Rossetti that forms part of his poetic sequence *The House of Life*, exploring themes of physical allure, desire, and mortality.
  • E. BEAUTY
    BEAUTY is the radio callsign used by the Belgian leisure airline TUI fly Belgium for its flight operations.
  • 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_69d81c5ae7c88190b0dd41bdafeb5999 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de0284428081908043c55caeefb833 completed April 14, 2026, 9:01 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7c0e966c48190abe109d44300014a completed May 3, 2026, 9:40 p.m.
Created at: April 9, 2026, 10:13 p.m.