Triple

T13119097
Position Surface form Disambiguated ID Type / Status
Subject The Witch E311676 entity
Predicate stars P1956 FINISHED
Object Ellie Grainger
Ellie Grainger is an actress best known for her role in the critically acclaimed horror film "The Witch."
E1022333 NE FINISHED

How this triple was built (4 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: Ellie Grainger | Statement: [The Witch, stars, Ellie Grainger]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ellie Grainger
Context triple: [The Witch, stars, Ellie Grainger]
  • A. Lucy Fleming
    Lucy Fleming is a British actress and audiobook narrator, known for her work in television, film, and audio adaptations, and as the niece of James Bond creator Ian Fleming.
  • B. Francesca Hayward
    Francesca Hayward is a British ballet dancer and actress, best known as a principal dancer with The Royal Ballet and for her leading role in the film adaptation of "Cats."
  • C. Cosima Shaw
    Cosima Shaw is a German-British actress known for her work in science fiction and drama, including prominent roles in television and film.
  • D. Ellie Winstone
    Ellie Winstone is a British actress and the daughter of English actor Ray Winstone.
  • E. Clementine Carter
    Clementine Carter is a central female character in the classic 1946 Western film "My Darling Clementine," often portrayed as the refined and moral romantic interest amid the lawlessness of Tombstone.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Ellie Grainger
Triple: [The Witch, stars, Ellie Grainger]
Generated description
Ellie Grainger is an actress best known for her role in the critically acclaimed horror film "The Witch."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Ellie Grainger
Target entity description: Ellie Grainger is an actress best known for her role in the critically acclaimed horror film "The Witch."
  • A. Lucy Fleming
    Lucy Fleming is a British actress and audiobook narrator, known for her work in television, film, and audio adaptations, and as the niece of James Bond creator Ian Fleming.
  • B. Francesca Hayward
    Francesca Hayward is a British ballet dancer and actress, best known as a principal dancer with The Royal Ballet and for her leading role in the film adaptation of "Cats."
  • C. Cosima Shaw
    Cosima Shaw is a German-British actress known for her work in science fiction and drama, including prominent roles in television and film.
  • D. Ellie Winstone
    Ellie Winstone is a British actress and the daughter of English actor Ray Winstone.
  • E. Clementine Carter
    Clementine Carter is a central female character in the classic 1946 Western film "My Darling Clementine," often portrayed as the refined and moral romantic interest amid the lawlessness of Tombstone.
  • F. None of above. chosen

Provenance (5 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_69d806a9fe888190b081e2d9ea665d6c completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d98196e69081909111407ee3d9f08e completed April 10, 2026, 11:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6e284c3c881909d65e2ba89fbe7af completed May 3, 2026, 5:52 a.m.
NEDg Description generation batch_69f6e383dd8c8190872304c99b753152 completed May 3, 2026, 5:56 a.m.
NED2 Entity disambiguation (via description) batch_69f6e47b052c8190a6f6ca5a6bd210f5 completed May 3, 2026, 6 a.m.
Created at: April 9, 2026, 9:06 p.m.