Triple

T3066665
Position Surface form Disambiguated ID Type / Status
Subject Quills E62118 entity
Predicate stars P1956 FINISHED
Object Kate Winslet E72394 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: Kate Winslet | Statement: [Quills, stars, Kate Winslet]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kate Winslet
Context triple: [Quills, stars, Kate Winslet]
  • A. Kate Winslet chosen
    Kate Winslet is an acclaimed English actress known for her versatile performances in films such as "Titanic," "Eternal Sunshine of the Spotless Mind," and "The Reader," for which she has received numerous major awards.
  • B. Keira Knightley
    Keira Knightley is an English actress known for her roles in period dramas and major film franchises such as "Pirates of the Caribbean" and "Pride & Prejudice."
  • C. Michelle Williams
    Michelle Williams is an American singer and actress best known as one of the lead vocalists of the Grammy-winning R&B group Destiny's Child.
  • D. Michelle Williams
    Michelle Williams is an acclaimed American actress known for her emotionally nuanced performances in both independent films and major studio productions, earning multiple Academy Award and Golden Globe nominations and wins.
  • E. Sophie Fiennes
    Sophie Fiennes is a British film director and producer known for her innovative documentaries and collaborations with artists and philosophers.
  • 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_69ad85793e5c8190a358049bc4a98d8c completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada0fd87308190918e7b616f033faa completed March 8, 2026, 4:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69b1f87bec6c8190ae928fc7c4467859 completed March 11, 2026, 11:19 p.m.
Created at: March 8, 2026, 3:02 p.m.