Triple

T14455680
Position Surface form Disambiguated ID Type / Status
Subject Priceless E358452 entity
Predicate castMember P1668 FINISHED
Object Annelise Hesme E860628 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: Annelise Hesme | Statement: [Priceless, castMember, Annelise Hesme]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Annelise Hesme
Context triple: [Priceless, castMember, Annelise Hesme]
  • A. Annelise Hesme chosen
    Annelise Hesme is a French actress known for her roles in film, television, and advertising, including appearances in popular French comedies and international commercials.
  • B. Elise Loehnen
    Elise Loehnen is an American writer, editor, and former chief content officer at Gwyneth Paltrow’s lifestyle brand Goop, known for her work in wellness media and authorship.
  • C. Noëlle Boisson
    Noëlle Boisson is a French film editor known for her work on numerous acclaimed international films, including major historical and dramatic features.
  • D. Amélie Nikisch
    Amélie Nikisch was a German operatic soprano and voice teacher active in the late 19th and early 20th centuries.
  • E. Nathalie Lorson
    Nathalie Lorson is a renowned French master perfumer known for creating numerous successful and influential fragrances for major international brands.
  • 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_69d82794dfa081909b9134ad2e32244b completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de91a9c0d48190ae015e5e0db806ca completed April 14, 2026, 7:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd8aa904c08190b33796b832aa100f completed May 8, 2026, 7:03 a.m.
Created at: April 10, 2026, 1:19 a.m.