Triple

T11458804
Position Surface form Disambiguated ID Type / Status
Subject Jessica Hynes E271596 entity
Predicate name P16 FINISHED
Object Jessica Hynes E271596 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: Jessica Hynes | Statement: [Jessica Hynes, name, Jessica Hynes]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jessica Hynes
Context triple: [Jessica Hynes, name, Jessica Hynes]
  • A. Jessica Hynes chosen
    Jessica Hynes is an English actress, writer, and comedian best known for co-creating and starring in the sitcom "Spaced" and for her roles in British television and film.
  • B. Lisa Sheridan
    Lisa Sheridan is the troubled protagonist of the psychological thriller film "Obsessed," whose fixation drives the story's escalating tension and conflict.
  • C. Lisa Sheridan
    Lisa Sheridan is an American actress best known for her roles on television series such as "Invasion," "FreakyLinks," and "Halt and Catch Fire."
  • D. Cherry Jones
    Cherry Jones is an acclaimed American stage and screen actress, renowned for her Tony Award–winning Broadway performances and prominent roles in film and television series such as "24" and "The Handmaid's Tale."
  • E. Lisa Harrow
    Lisa Harrow is a New Zealand-born actress known for her work in film, television, and theatre, including prominent roles in Australian and British productions.
  • 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_69d6aadff8888190a13f253f0d460874 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d822f2138081909408c7916cef99c9 completed April 9, 2026, 10:06 p.m.
NED1 Entity disambiguation (via context triple) batch_69ee866bb71c819091573965f7cf0dee completed April 26, 2026, 9:40 p.m.
Created at: April 8, 2026, 9:35 p.m.