Triple

T11991679
Position Surface form Disambiguated ID Type / Status
Subject John Baldessari E285419 entity
Predicate notableWork P4 FINISHED
Object Wrong
Wrong is a 1967 conceptual art photograph by John Baldessari that humorously violates traditional compositional rules and became one of his most iconic works.
 E957423 NE FINISHED

How this triple was built (4 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: Wrong | Statement: [John Baldessari, notableWork, Wrong]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Wrong
Context triple: [John Baldessari, notableWork, Wrong]
  • A. WR
    WR is the abbreviation for the German Council of Science and Humanities, a key advisory body that counsels the German federal and state governments on science, research, and higher education policy.
  • B. WR
    WR is the postcode area designation covering Worcester and surrounding parts of Worcestershire in England.
  • C. WR
    WR is the standard abbreviation for World Rugby, the international governing body for the sport of rugby union.
  • D. WR
    WR is the official abbreviation for the Western Railway zone of Indian Railways, which operates major rail services across western India.
  • E. WR
    WR is the vehicle registration code assigned to the city of Radom in Poland.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Wrong
Triple: [John Baldessari, notableWork, Wrong]
Generated description
Wrong is a 1967 conceptual art photograph by John Baldessari that humorously violates traditional compositional rules and became one of his most iconic works.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Wrong
Target entity description: Wrong is a 1967 conceptual art photograph by John Baldessari that humorously violates traditional compositional rules and became one of his most iconic works.
  • A. WR
    WR is the abbreviation for the German Council of Science and Humanities, a key advisory body that counsels the German federal and state governments on science, research, and higher education policy.
  • B. WR
    WR is the standard abbreviation for World Rugby, the international governing body for the sport of rugby union.
  • C. WR
    WR is the official abbreviation for the Western Railway zone of Indian Railways, which operates major rail services across western India.
  • D. WR
    WR is the vehicle registration code assigned to the city of Radom in Poland.
  • E. WR
    WR is the postcode area designation covering Worcester and surrounding parts of Worcestershire in England.
  • F. None of above. chosen

Provenance (5 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_69d6ab44a77c8190a652f4b27164e4ef completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d903b11ac481909866b611380792e7 completed April 10, 2026, 2:05 p.m.
NED1 Entity disambiguation (via context triple) batch_69f47257911481909d6bd72535eefdbd completed May 1, 2026, 9:28 a.m.
NEDg Description generation batch_69f47cb7f9b4819091e6df4b894359bb completed May 1, 2026, 10:13 a.m.
NED2 Entity disambiguation (via description) batch_69f47e6b8234819087fa1c53406b5f62 completed May 1, 2026, 10:20 a.m.
Created at: April 8, 2026, 9:46 p.m.