Triple

T13520513
Position Surface form Disambiguated ID Type / Status
Subject My Octopus Teacher E322879 entity
Predicate director P255 FINISHED
Object Pippa Ehrlich E322879 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: Pippa Ehrlich | Statement: [My Octopus Teacher, director, Pippa Ehrlich]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pippa Ehrlich
Context triple: [My Octopus Teacher, director, Pippa Ehrlich]
  • A. Pippa Ehrlich chosen
    Pippa Ehrlich is a South African filmmaker and environmental journalist best known for co-directing the Oscar-winning nature documentary "My Octopus Teacher."
  • B. Jennifer Mordaunt
    Jennifer Mordaunt is a relative of British Conservative politician Penny Mordaunt.
  • C. Katherine Pope
    Katherine Pope is a television executive and producer known for her leadership roles at major studios and her work overseeing high-profile series.
  • D. Pippa Skotnes
    Pippa Skotnes is a South African artist, curator, and academic known for her work exploring history, memory, and indigenous narratives, particularly through printmaking and book arts.
  • E. Tanya Chesham-Leigh
    Tanya Chesham-Leigh is a fictional character from the "Mamma Mia!" musical and film series, known as one of Donna Sheridan’s glamorous and fun-loving best friends.
  • 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_69d80766a21881909f21a1b7421d3b8a completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbafa3df0c8190804174695587f0ea completed April 12, 2026, 2:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69f75d93a2608190a3a693bf4086a010 completed May 3, 2026, 2:37 p.m.
Created at: April 9, 2026, 9:44 p.m.