Triple

T4334150
Position Surface form Disambiguated ID Type / Status
Subject Grayson Perry E97422 entity
Predicate alterEgo P39 FINISHED
Object Claire E97238 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: Claire | Statement: [Grayson Perry, alterEgo, Claire]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Claire
Context triple: [Grayson Perry, alterEgo, Claire]
  • A. Claire chosen
    Claire is a feminine given name of French origin meaning "clear" or "bright," commonly used in English-speaking countries.
  • B. Claire Louise
    Claire Louise was the wife of American film actor Robert Armstrong, best known for his role in the classic movie "King Kong."
  • C. Madelaine
    Madelaine is a character in the Danish crime thriller film "The Salvation."
  • D. Claire Kincaid
    Claire Kincaid is a fictional assistant district attorney on the television series "Law & Order," known for her idealism and moral conviction in prosecuting cases.
  • E. Adeline
    Adeline is the virtuous and persecuted heroine of Ann Radcliffe’s Gothic novel "The Romance of the Forest."
  • 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_69b3454662a481908fbcd0bbfaa3a0a4 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b351516d488190b5b3d1936e3a325d completed March 12, 2026, 11:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5d0a634308190ba4d8c8dc07814ae completed March 14, 2026, 9:18 p.m.
Created at: March 12, 2026, 11:13 p.m.