Triple

T12869580
Position Surface form Disambiguated ID Type / Status
Subject Bart Freundlich E307811 entity
Predicate givenName P17 FINISHED
Object Bart E199538 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: Bart | Statement: [Bart Freundlich, givenName, Bart]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bart
Context triple: [Bart Freundlich, givenName, Bart]
  • A. Bart Simpson chosen
    Bart Simpson is the mischievous, rebellious eldest child of the Simpson family and one of the central characters in the animated television series "The Simpsons."
  • B. Homer Simpson
    Homer Simpson is the bumbling, doughnut-loving father and nuclear power plant employee at the center of the animated television series "The Simpsons."
  • C. Archibald Simpson
    Archibald Simpson was a prominent 19th-century Scottish architect best known for shaping much of the neoclassical cityscape of Aberdeen.
  • D. Lisa Simpson
    Lisa Simpson is the intelligent, saxophone-playing, socially conscious middle child of the Simpson family on the animated television series "The Simpsons."
  • E. Ralph Wiggum
    Ralph Wiggum is a dim-witted yet endearing young boy from the animated TV series "The Simpsons," known for his bizarre non sequiturs and childlike innocence.
  • 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_69d7bdf69bc48190af6c2621f28ca351 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d9708f510c8190b4c64dc340420e85 completed April 10, 2026, 9:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69f69bb26eb08190912d0b44c345bf41 completed May 3, 2026, 12:49 a.m.
Created at: April 9, 2026, 5:38 p.m.