Triple

T6907888
Position Surface form Disambiguated ID Type / Status
Subject Egmont E159855 entity
Predicate originalTitle P65 FINISHED
Object Egmont E159855 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: Egmont | Statement: [Egmont, originalTitle, Egmont]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Egmont
Context triple: [Egmont, originalTitle, Egmont]
  • A. Egmont chosen
    Egmont is a tragic drama by Johann Wolfgang von Goethe that portrays the struggle for freedom against political oppression in 16th-century Flanders.
  • B. Goytre
    Goytre is a village and community located within the county borough of Neath Port Talbot in South Wales.
  • C. Eggerth
    Eggerth is a surname most notably associated with Marta Eggerth, a celebrated Hungarian-born soprano and actress known for her operetta and film performances in Europe and the United States.
  • D. Breyten
    Breyten is the given name of Breyten Breytenbach, the renowned South African poet, painter, and anti-apartheid activist.
  • E. Eyring
    Eyring is a surname most prominently associated with Henry Eyring, a renowned theoretical chemist known for his work on chemical reaction rates and transition state theory.
  • 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_69c68839ccb88190b4aa5cc1aca3448f completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6d9bd7b3c8190842eb83679c322d5 completed March 27, 2026, 7:25 p.m.
NED1 Entity disambiguation (via context triple) batch_69c74901aee08190a5e132200fd58c05 completed March 28, 2026, 3:20 a.m.
Created at: March 27, 2026, 2:25 p.m.