Triple

T2517646
Position Surface form Disambiguated ID Type / Status
Subject Calvin Candie E55448 entity
Predicate antagonistOf P18963 FINISHED
Object Django Freeman E126511 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: Django Freeman | Statement: [Calvin Candie, antagonistOf, Django Freeman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Django Freeman
Context triple: [Calvin Candie, antagonistOf, Django Freeman]
  • A. Django Freeman chosen
    Django Freeman is a formerly enslaved African-American turned bounty hunter who seeks to rescue his wife in Quentin Tarantino’s Western film "Django Unchained."
  • B. Ezekiel Jones
    Ezekiel Jones is a charming, tech-savvy master thief and one of the main Librarians in the fantasy adventure TV series "The Librarians."
  • C. Aubrey Jones
    Aubrey Jones was a British Conservative politician who served in senior government roles in the mid-20th century, notably in economic and industrial affairs.
  • D. Elijah Wright
    Elijah Wright is known as the son of British actress and singer Carmen Ejogo.
  • E. E. Charlton Fortune
    E. Charlton Fortune was an American painter known for her vibrant, modernist-inflected landscapes and coastal scenes that made her a key figure in early 20th-century California Impressionism.
  • 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_69ab49e4749c8190813311efd1630f1b completed March 6, 2026, 9:40 p.m.
NER Named-entity recognition batch_69abd2111d28819099884a2bec5e0366 completed March 7, 2026, 7:21 a.m.
NED1 Entity disambiguation (via context triple) batch_69af2b9ef8048190bafff3f1853321cb completed March 9, 2026, 8:20 p.m.
Created at: March 6, 2026, 9:46 p.m.