Triple

T4256693
Position Surface form Disambiguated ID Type / Status
Subject Pacific Rim: The Black E95990 entity
Predicate voiceActor P1507 FINISHED
Object Victoria Grace
Victoria Grace is an actress and voice actress known for her role in the animated series "Pacific Rim: The Black."
E424764 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: Victoria Grace | Statement: [Pacific Rim: The Black, voiceActor, Victoria Grace]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Victoria Grace
Context triple: [Pacific Rim: The Black, voiceActor, Victoria Grace]
  • A. Mary Adelaide
    Mary Adelaide was a British princess of the House of Hanover, mother of Queen Mary and grandmother of King George VI and great-grandmother of Queen Elizabeth II.
  • B. Princess Catherine of England
    Princess Catherine of England is a fictional or lesser-known English royal figure portrayed as a daughter of the House of Stuart in some historical or literary contexts.
  • C. Elisabeth
    Elisabeth is a feminine given name of Hebrew origin, commonly used in various European languages as a form of Elizabeth.
  • D. Elisabeth
    Elisabeth is a metro station on the Brussels Metro system in Brussels, Belgium.
  • E. Victoria Anne Reggie
    Victoria Anne Reggie is an American attorney and political figure best known as the widow of U.S. Senator Ted Kennedy and for her work on legal and public policy issues.
  • 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: Victoria Grace
Triple: [Pacific Rim: The Black, voiceActor, Victoria Grace]
Generated description
Victoria Grace is an actress and voice actress known for her role in the animated series "Pacific Rim: The Black."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Victoria Grace
Target entity description: Victoria Grace is an actress and voice actress known for her role in the animated series "Pacific Rim: The Black."
  • A. Mary Adelaide
    Mary Adelaide was a British princess of the House of Hanover, mother of Queen Mary and grandmother of King George VI and great-grandmother of Queen Elizabeth II.
  • B. Princess Catherine of England
    Princess Catherine of England is a fictional or lesser-known English royal figure portrayed as a daughter of the House of Stuart in some historical or literary contexts.
  • C. Elisabeth
    Elisabeth is a feminine given name of Hebrew origin, commonly used in various European languages as a form of Elizabeth.
  • D. Elisabeth
    Elisabeth is a metro station on the Brussels Metro system in Brussels, Belgium.
  • E. Victoria Anne Reggie
    Victoria Anne Reggie is an American attorney and political figure best known as the widow of U.S. Senator Ted Kennedy and for her work on legal and public policy issues.
  • 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_69b3454095ac81909c2494f7ff294af1 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b34ec321008190b2cc1aca6ab690c4 completed March 12, 2026, 11:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5a88a68f081909e5bae5b0414f534 completed March 14, 2026, 6:27 p.m.
NEDg Description generation batch_69b5a94e637881909a20bb1df0cd5768 completed March 14, 2026, 6:30 p.m.
NED2 Entity disambiguation (via description) batch_69b5a9d9b28081909d7dc97b02209318 completed March 14, 2026, 6:32 p.m.
Created at: March 12, 2026, 11:06 p.m.