Triple

T6067718
Position Surface form Disambiguated ID Type / Status
Subject Skeet Ulrich E135200 entity
Predicate spouse P13 FINISHED
Object Amelia Jackson-Gray
Amelia Jackson-Gray is a British actress known for her work in independent films and for her past marriage to actor Skeet Ulrich.
E565505 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: Amelia Jackson-Gray | Statement: [Skeet Ulrich, spouse, Amelia Jackson-Gray]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Amelia Jackson-Gray
Context triple: [Skeet Ulrich, spouse, Amelia Jackson-Gray]
  • A. Gemma Jackson
    Gemma Jackson is a British production designer renowned for her work on major films and television series, including the 2019 live-action adaptation of Disney's "Aladdin."
  • B. Amelia Byford
    Amelia Byford was the mother of renowned British First World War flying ace James McCudden.
  • C. Amelia Warner
    Amelia Warner is a British actress and composer known for her film roles and for composing scores such as the soundtrack for the film "Mary Shelley."
  • D. Giorgia Whigham
    Giorgia Whigham is an American actress known for her roles in television series such as The Punisher, 13 Reasons Why, and Scream: Resurrection.
  • E. Amanda Hopkinson
    Amanda Hopkinson is a British literary translator and academic known for translating major works of Spanish and Latin American literature into English.
  • 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: Amelia Jackson-Gray
Triple: [Skeet Ulrich, spouse, Amelia Jackson-Gray]
Generated description
Amelia Jackson-Gray is a British actress known for her work in independent films and for her past marriage to actor Skeet Ulrich.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Amelia Jackson-Gray
Target entity description: Amelia Jackson-Gray is a British actress known for her work in independent films and for her past marriage to actor Skeet Ulrich.
  • A. Gemma Jackson
    Gemma Jackson is a British production designer renowned for her work on major films and television series, including the 2019 live-action adaptation of Disney's "Aladdin."
  • B. Amelia Byford
    Amelia Byford was the mother of renowned British First World War flying ace James McCudden.
  • C. Amelia Warner
    Amelia Warner is a British actress and composer known for her film roles and for composing scores such as the soundtrack for the film "Mary Shelley."
  • D. Giorgia Whigham
    Giorgia Whigham is an American actress known for her roles in television series such as The Punisher, 13 Reasons Why, and Scream: Resurrection.
  • E. Amanda Hopkinson
    Amanda Hopkinson is a British literary translator and academic known for translating major works of Spanish and Latin American literature into English.
  • 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_69c00879e8048190b690717d19c5bc03 completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c057403a8081908b593472fcc0d699 completed March 22, 2026, 8:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69c11d297ff88190a01b98f7ec9d9cf1 completed March 23, 2026, 10:59 a.m.
NEDg Description generation batch_69c11e956aa08190ac3fef49fb67471c completed March 23, 2026, 11:05 a.m.
NED2 Entity disambiguation (via description) batch_69c11f05ff9081908adc7f40fa12e834 completed March 23, 2026, 11:07 a.m.
Created at: March 22, 2026, 4:10 p.m.