Triple

T15495111
Position Surface form Disambiguated ID Type / Status
Subject Bones E378796 entity
Predicate portrayedBy P1507 FINISHED
Object Emily Deschanel E600867 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: Emily Deschanel | Statement: [Bones, portrayedBy, Emily Deschanel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Emily Deschanel
Context triple: [Bones, portrayedBy, Emily Deschanel]
  • A. Emily Deschanel chosen
    Emily Deschanel is an American actress best known for starring as Dr. Temperance "Bones" Brennan on the long-running television series "Bones."
  • B. Mary LaRoche
    Mary LaRoche was an American actress and singer known for her work in mid-20th-century film, television, and Broadway productions.
  • C. Melissa Franklin
    Melissa Franklin is a Canadian-American experimental particle physicist known for her work at CERN and as the first woman to receive tenure in Harvard University's physics department.
  • D. Emily Woodruff
    Emily Woodruff was the wife of Canadian-American actor Hume Cronyn and is primarily known for her connection to his life and career.
  • E. Calista Flockhart
    Calista Flockhart is an American actress best known for her title role as a quirky lawyer in the television series "Ally McBeal."
  • 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_69d85cd53a7c819080f5b9042c4c199e completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e03faecd60819091eeaa56c9c8f67d completed April 16, 2026, 1:47 a.m.
NED1 Entity disambiguation (via context triple) batch_69ffa9300c5481909b719b65dcf548bf completed May 9, 2026, 9:37 p.m.
Created at: April 10, 2026, 3:51 a.m.