Triple

T12729343
Position Surface form Disambiguated ID Type / Status
Subject Jennifer Lash E304190 entity
Predicate child P120 FINISHED
Object Martha Fiennes E177341 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: Martha Fiennes | Statement: [Jennifer Lash, child, Martha Fiennes]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Martha Fiennes
Context triple: [Jennifer Lash, child, Martha Fiennes]
  • A. Martha Fiennes chosen
    Martha Fiennes is a British film director, writer, and producer best known for her visually distinctive adaptation of "Onegin."
  • B. Sophie Fiennes
    Sophie Fiennes is a British film director and producer known for her innovative documentaries and collaborations with artists and philosophers.
  • C. Helena Bonham Carter
    Helena Bonham Carter is an acclaimed English actress known for her versatile performances in both period dramas and eccentric contemporary roles, including frequent collaborations with director Tim Burton.
  • D. Mercy Fiennes-Tiffin
    Mercy Fiennes-Tiffin is a member of the British Fiennes acting and filmmaking family, related to director Martha Fiennes and actors Ralph and Joseph Fiennes.
  • E. Miranda Richardson
    Miranda Richardson is an acclaimed English actress known for her versatile performances in film, television, and theatre, including notable roles in "The Crying Game," "Damage," and the "Harry Potter" series.
  • 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_69d7bdf1426c8190a4402e1c4cdec33a completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d964172490819080cd022ff8290b6e completed April 10, 2026, 8:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7ce5b2b988190892e14620fb87366 completed May 3, 2026, 10:38 p.m.
Created at: April 9, 2026, 5:25 p.m.