Triple

T94894
Position Surface form Disambiguated ID Type / Status
Subject The Bean E1907 entity
Predicate designedBy P184 FINISHED
Object Anish Kapoor E9224 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: Anish Kapoor | Statement: [The Bean, designedBy, Anish Kapoor]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Anish Kapoor
Context triple: [The Bean, designedBy, Anish Kapoor]
  • A. Anish Kapoor chosen
    Anish Kapoor is a renowned British-Indian sculptor known for his large-scale, reflective, and often abstract public artworks that explore perception, space, and materiality.
  • B. Frank Gehry
    Frank Gehry is a renowned Canadian-American architect celebrated for his innovative, sculptural, and deconstructivist building designs worldwide.
  • C. Isamu Chō
    Isamu Chō was an Imperial Japanese Army general known for his extreme nationalism and key leadership role in Japan’s final World War II battles, including the defense of Okinawa.
  • D. I. M. Pei
    I. M. Pei was a renowned Chinese-American architect celebrated for his modernist designs, including iconic museums and cultural landmarks around the world.
  • E. Renzo Piano
    Renzo Piano is an acclaimed Italian architect known for his innovative, light-filled museum designs and landmark projects such as the Centre Pompidou in Paris and The Shard in London.
  • 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_69a24d4862f881908cc8b89d3a78031d completed Feb. 28, 2026, 2:04 a.m.
NER Named-entity recognition batch_69a24fd4777c81909ea9b9a6bd4f7ad5 completed Feb. 28, 2026, 2:15 a.m.
NED1 Entity disambiguation (via context triple) batch_69a2c272c04481909ad035b719ac4798 completed Feb. 28, 2026, 10:24 a.m.
Created at: Feb. 28, 2026, 2:09 a.m.