Triple

T7654718
Position Surface form Disambiguated ID Type / Status
Subject The Threatened Swan E173350 entity
Predicate creator P184 FINISHED
Object Jan Asselijn E173350 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: Jan Asselijn | Statement: [The Threatened Swan, creator, Jan Asselijn]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jan Asselijn
Context triple: [The Threatened Swan, creator, Jan Asselijn]
  • A. Jan Asselijn chosen
    Jan Asselijn was a 17th-century Dutch Golden Age painter known for his landscapes and animal scenes, including the famous political allegory "The Threatened Swan."
  • B. Dani van Velthoven
    Dani van Velthoven is a Dutch singer who gained national fame after winning the popular televised talent competition The Voice of Holland.
  • C. Jean van Duren
    Jean van Duren was an 18th-century publisher known for issuing the political treatise "Anti-Machiavel," often associated with Frederick the Great.
  • D. Jan D'Alquen
    Jan D'Alquen is a cinematographer best known for his work on the classic coming-of-age film "American Graffiti."
  • E. Bete Denagel
    Bete Denagel is one of the rock-hewn monolithic churches in the historic Ethiopian town of Lalibela, renowned for its medieval Christian architecture and religious significance.
  • 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_69c6995473348190a4f41d110d619a18 completed March 27, 2026, 2:51 p.m.
NER Named-entity recognition batch_69c7018d4cdc819092ca297b836190d9 completed March 27, 2026, 10:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8e575c22481908a6779f5d496bd3a completed March 29, 2026, 8:40 a.m.
Created at: March 27, 2026, 3:59 p.m.