Triple

T16034320
Position Surface form Disambiguated ID Type / Status
Subject Theo van de Sande E388927 entity
Predicate notableWork P4 FINISHED
Object Ciske de Rat E816419 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: Ciske de Rat | Statement: [Theo van de Sande, notableWork, Ciske de Rat]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ciske de Rat
Context triple: [Theo van de Sande, notableWork, Ciske de Rat]
  • A. Ciske de Rat chosen
    Ciske de Rat is a classic Dutch film and literary character, a tough yet vulnerable Amsterdam street boy whose story of hardship and redemption has become a cultural icon in the Netherlands.
  • B. Semeka
    Semeka is a former American college basketball player and coach best known for her standout career with the Tennessee Lady Volunteers under Pat Summitt.
  • C. Machar
    Machar is a small rural township in Ontario, Canada, known for its forests, lakes, and low-density residential and agricultural character.
  • D. Ratodero
    Ratodero is a town in Pakistan’s Sindh province that serves as an important local center within the Larkana District.
  • E. Bokke
    Bokke is the popular nickname for South Africa’s national rugby union team, the Springboks.
  • 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_69d86dada3808190825d5f80d72fbe88 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e1833a5aa88190a5cc3f82d55f5b62 completed April 17, 2026, 12:47 a.m.
NED1 Entity disambiguation (via context triple) batch_69ffdbd1cafc81909125174eed475d55 completed May 10, 2026, 1:13 a.m.
Created at: April 10, 2026, 4:56 a.m.