Triple

T1794299
Position Surface form Disambiguated ID Type / Status
Subject Oceanic E39568 entity
Predicate followedBy P78 FINISHED
Object El Greco E35588 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: El Greco | Statement: [Oceanic, followedBy, El Greco]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: El Greco
Context triple: [Oceanic, followedBy, El Greco]
  • A. El Greco chosen
    El Greco was a Greek-born Renaissance painter active in Spain, renowned for his dramatic, elongated figures and expressive use of color and light that profoundly influenced later art movements.
  • B. Jusepe de Ribera
    Jusepe de Ribera was a 17th-century Spanish Tenebrist painter and printmaker, renowned for his dramatic use of light and shadow and intense religious and mythological scenes.
  • C. Zurbarán
    Zurbarán was a 17th-century Spanish Baroque painter renowned for his starkly realistic religious scenes and masterful use of chiaroscuro.
  • D. Fernando Velázquez
    Fernando Velázquez is a Spanish film composer and conductor known for his evocative orchestral scores for movies such as "The Orphanage," "The Impossible," and "Crimson Peak."
  • E. Luis de Morales
    Luis de Morales was a 16th-century Spanish Renaissance painter renowned for his intensely emotional religious works, especially his depictions of the Virgin Mary and Christ.
  • 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_69a88631854081909723959921e45c2b completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69aa653c4c148190bfe6ac017ecbf695 completed March 6, 2026, 5:25 a.m.
NED1 Entity disambiguation (via context triple) batch_69adb5d26afc81909675064289d3a5b8 completed March 8, 2026, 5:45 p.m.
Created at: March 4, 2026, 7:32 p.m.