Triple

T5493927
Position Surface form Disambiguated ID Type / Status
Subject Bristol Old Vic Theatre School E123766 entity
Predicate notableAlumni P51 FINISHED
Object Samantha Bond E424282 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: Samantha Bond | Statement: [Bristol Old Vic Theatre School, notableAlumni, Samantha Bond]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Samantha Bond
Context triple: [Bristol Old Vic Theatre School, notableAlumni, Samantha Bond]
  • A. Samantha Bond chosen
    Samantha Bond is an English actress best known for playing Miss Moneypenny in the James Bond film series during the Pierce Brosnan era.
  • B. Samantha Winslow
    Samantha Winslow is an American photographer and the wife of renowned film composer John Williams.
  • C. Jane Bingum
    Jane Bingum is the intelligent, plus-sized lawyer protagonist of the television series "Drop Dead Diva," known for combining sharp legal skills with a compassionate, quirky personality.
  • D. Anna Beth Sully
    Anna Beth Sully was the first wife of silent film star Douglas Fairbanks, whom she married before his rise to Hollywood fame.
  • E. Samantha Thompson
    Samantha Thompson is known as the daughter of American politician and former Illinois governor James R. Thompson.
  • 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_69bd464a2d908190869324ce176779c8 completed March 20, 2026, 1:06 p.m.
NER Named-entity recognition batch_69bd9294ea9c8190b394a8528c385ee9 completed March 20, 2026, 6:31 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf6c95ba008190ad61e1d31ae38d98 completed March 22, 2026, 4:14 a.m.
Created at: March 20, 2026, 2:10 p.m.