Triple

T23363965
Position Surface form Disambiguated ID Type / Status
Subject Charles Robberts Swart E593260 entity
Predicate givenName P17 FINISHED
Object Robberts 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: Robberts | Statement: [Charles Robberts Swart, givenName, Robberts]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Robberts
Context triple: [Charles Robberts Swart, givenName, Robberts]
  • A. Robberts chosen
    Robberts is the given name of Charles Robberts Swart, the first State President of South Africa.
  • B. Robards
    Robards is a surname most prominently associated with the American stage and film actor Jason Robards.
  • C. Robbinsen
    Robbinsen is a surname variant of Robbins, likely sharing the same English patronymic origins derived from the given name Robin.
  • D. Bobert
    Bobert is a robotic student character from the animated television series "The Amazing World of Gumball," known for his literal, emotionless personality and advanced technological abilities.
  • E. Robertson
    Robertson is a common Scottish surname historically associated with the Highlands and borne by numerous notable figures in politics, sports, and the arts.
  • 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_69e25d2593c88190bcdf4a716a94ccb2 completed April 17, 2026, 4:17 p.m.
NER Named-entity recognition batch_69f1a0aac4248190a4663ed12aed6856 completed April 29, 2026, 6:09 a.m.
Created at: April 17, 2026, 5:31 p.m.