Triple

T13567191
Position Surface form Disambiguated ID Type / Status
Subject Elizabeth Jane Campion E324067 entity
Predicate hasChild P369 FINISHED
Object Alice Englert E356548 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: Alice Englert | Statement: [Elizabeth Jane Campion, hasChild, Alice Englert]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Alice Englert
Context triple: [Elizabeth Jane Campion, hasChild, Alice Englert]
  • A. Alice Englert chosen
    Alice Englert is an Australian actress, writer, and director known for roles in films like "Beautiful Creatures" and "Ginger & Rosa" and for her work on the series "Top of the Lake."
  • B. Elisabeth Vietz
    Elisabeth Vietz is an individual whose specific public background or notable achievements are not clearly documented in widely available sources.
  • C. Elisabeth Vietz
    Elisabeth Vietz was the mother of Austrian composer Franz Schubert, playing a formative role in his early family life and upbringing.
  • D. Elisabeth Gortz
    Elisabeth Gortz was the wife of Danish-American social reformer and pioneering photojournalist Jacob Riis.
  • E. Marlene Knaus
    Marlene Knaus is an Austrian former model best known as the ex-wife of Formula One legend Niki Lauda.
  • 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_69d8076830b48190910a902bae5888e2 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbb00e0188819094fde44f85adb69c completed April 12, 2026, 2:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7ce60b1248190addfbfc1c5ccd2d1 completed May 3, 2026, 10:38 p.m.
Created at: April 9, 2026, 9:48 p.m.