Triple

T22275844
Position Surface form Disambiguated ID Type / Status
Subject Marie Spartali Stillman E550602 entity
Predicate parent P120 FINISHED
Object Michael Spartali NE NERFINISHED

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: Michael Spartali | Statement: [Marie Spartali Stillman, parent, Michael Spartali]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Michael Spartali
Context triple: [Marie Spartali Stillman, parent, Michael Spartali]
  • A. Michael Spartali chosen
    Michael Spartali was a 19th-century Anglo-Greek merchant and prominent member of the London Greek community, best known as the father of Pre-Raphaelite painter Marie Spartali Stillman.
  • B. Jimmy Giannos
    Jimmy Giannos is an author best known for writing the work titled "Intentions."
  • C. Patrick Zariakas
    Patrick Zariakas is a character in the film "Serenity," depicted as the young son of Baker Dill and a central motivation for his actions.
  • D. Michael Trikilis
    Michael Trikilis was an American television and film producer best known for his work on Playboy-related projects and various feature films in the late 20th century.
  • E. John Cacavas
    John Cacavas was an American composer, arranger, and conductor best known for his prolific work on film and television scores in the 1970s and 1980s.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e11e43d8208190aff4f9cf7f2c2a8a completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f14ea7ebbc8190948e8994e988adb3 completed April 29, 2026, 12:19 a.m.
Created at: April 16, 2026, 8:40 p.m.