Triple

T14071369
Position Surface form Disambiguated ID Type / Status
Subject Sandra Lee Christiansen E338614 entity
Predicate professionalName P103813 FINISHED
Object Sandra Lee E67041 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: Sandra Lee | Statement: [Sandra Lee Christiansen, professionalName, Sandra Lee]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sandra Lee
Context triple: [Sandra Lee Christiansen, professionalName, Sandra Lee]
  • A. Sandra Lee chosen
    Sandra Lee is an American television chef and author known for her "Semi-Homemade" cooking concept and numerous Food Network shows.
  • B. Sandra Lee
    Sandra Lee is an American dermatologist and television personality best known for her viral pimple-popping videos and her TLC reality series "Dr. Pimple Popper."
  • C. Ina Garten
    Ina Garten is an American cookbook author and television host best known for her approachable, elegant home cooking showcased on the Food Network.
  • D. Anne Burrell
    Anne Burrell is an American chef and television personality best known for her energetic teaching style and appearances on Food Network cooking shows.
  • E. Rachel Ray
    "Rachel Ray" is a 19th-century novel by Anthony Trollope that explores themes of love, religious influence, and social pressure in a small English town.
  • 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_69d81c67ba6c819091935650dfb3b895 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de5c5aa828819098ef55a70a0decbc completed April 14, 2026, 3:25 p.m.
NED1 Entity disambiguation (via context triple) batch_69fde15cbbb0819099b84032d65cfdb0 completed May 8, 2026, 1:13 p.m.
Created at: April 9, 2026, 10:21 p.m.