Triple

T15892738
Position Surface form Disambiguated ID Type / Status
Subject Baker County E385367 entity
Predicate contains P35 FINISHED
Object Margaretta E670354 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: Margaretta | Statement: [Baker County, contains, Margaretta]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Margaretta
Context triple: [Baker County, contains, Margaretta]
  • A. Margaretta chosen
    Margaretta is the given name of Margaretta Large Fitler Murphy, an American socialite and philanthropist who served as First Lady of Pennsylvania.
  • B. Riwia Brown
    Riwia Brown is a New Zealand screenwriter best known for adapting Alan Duff’s novel into the acclaimed film "Once Were Warriors."
  • C. Schoinousa
    Schoinousa is a small, tranquil Greek island in the Aegean Sea known for its unspoiled beaches and traditional Cycladic character.
  • D. Goldthwait
    Goldthwait is the surname of American comedian, actor, and filmmaker Bobcat Goldthwait, known for his distinctive voice and darkly satirical work.
  • E. Janenschia
    Janenschia is a genus of large sauropod dinosaur from the Late Jurassic of what is now Tanzania, known for its long neck and massive body.
  • 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_69d86da5b800819083a31be937d738b0 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e1563727cc819086b5c18b655dd7f6 completed April 16, 2026, 9:35 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffb0497cb481908e8ea4ebb9c4039d completed May 9, 2026, 10:08 p.m.
Created at: April 10, 2026, 4:51 a.m.