Triple

T13316929
Position Surface form Disambiguated ID Type / Status
Subject Burroughs large systems E317209 entity
Predicate supportsProgrammingLanguage P1592 FINISHED
Object Pascal E1927 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: Pascal | Statement: [Burroughs large systems, supportsProgrammingLanguage, Pascal]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pascal
Context triple: [Burroughs large systems, supportsProgrammingLanguage, Pascal]
  • A. Pascal
    Pascal is a French surname most famously associated with Blaise Pascal, the 17th-century mathematician, physicist, inventor, and philosopher.
  • B. Pascal chosen
    Pascal is a high-level, strongly typed procedural programming language designed by Niklaus Wirth in the late 1960s, widely used for teaching structured programming and data structuring concepts.
  • C. Pascal
    Pascal is the small, expressive chameleon who serves as Rapunzel’s loyal companion and confidant in Disney’s animated film "Tangled."
  • D. Pascal
    Pascal is a Haitian-Canadian professional boxer and former light-heavyweight world champion known for his explosive style and high-profile bouts.
  • E. Turbo Pascal
    Turbo Pascal is a once-popular integrated development environment and compiler for the Pascal programming language, known for its fast compilation speed and influence on early PC software development.
  • 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_69d806b4d62c81908d4ced1665414be5 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d990f9a384819085890e18255ee339 completed April 11, 2026, 12:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69f716ec2ec08190a6e37795b422fe71 completed May 3, 2026, 9:35 a.m.
Created at: April 9, 2026, 9:29 p.m.