Triple

T3274523
Position Surface form Disambiguated ID Type / Status
Subject Paulus Potter E68727 entity
Predicate name P16 FINISHED
Object Paulus Potter E68727 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: Paulus Potter | Statement: [Paulus Potter, name, Paulus Potter]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Paulus Potter
Context triple: [Paulus Potter, name, Paulus Potter]
  • A. Paulus Potter chosen
    Paulus Potter was a renowned 17th-century Dutch Golden Age painter celebrated for his detailed and lifelike depictions of animals and rural landscapes.
  • B. Peter De Potter
    Peter De Potter is a Belgian visual artist and graphic designer known for his conceptual, text-driven imagery and collaborations with musicians and fashion brands.
  • C. Peter Honess
    Peter Honess is a British film editor best known for his work on major Hollywood films, including the acclaimed neo-noir crime drama "L.A. Confidential."
  • D. George Coe
    George Coe was an American actor and voice artist known for his work in film, television, and theater, including being part of the original Saturday Night Live cast.
  • E. John Victor-Smith
    John Victor-Smith is a film editor best known for his work on major feature films including the superhero movie "Superman III."
  • 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_69ad859b54f881909bf530d549caf2fd completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adaff8a440819092509bc8511b2785 completed March 8, 2026, 5:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69b2e841d5588190a53ba90a46721b0f completed March 12, 2026, 4:22 p.m.
Created at: March 8, 2026, 3:10 p.m.