Triple

T1694287
Position Surface form Disambiguated ID Type / Status
Subject Effie Gray E36620 entity
Predicate editor P1954 FINISHED
Object Kate Williams
Kate Williams is a British historian, author, and television presenter known for her works on royal history and biography.
E258130 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: Kate Williams | Statement: [Effie Gray, editor, Kate Williams]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kate Williams
Context triple: [Effie Gray, editor, Kate Williams]
  • A. Amy Williams
    Amy Williams is a British skeleton racer who won the gold medal at the 2010 Winter Olympics in Vancouver.
  • B. Ann Williams
    Ann Williams is an American dancer, choreographer, and arts educator best known as the founder and longtime artistic director of the Dallas Black Dance Theatre.
  • C. Kate Garvey
    Kate Garvey is a British public relations executive and former political aide, known for her work with Tony Blair and her marriage to Wikipedia co-founder Jimmy Wales.
  • D. Emily Carmichael
    Emily Carmichael is an American filmmaker and screenwriter known for her work on genre films such as Pacific Rim: Uprising and for her distinctive, imaginative storytelling style.
  • E. Mary Williams
    Mary Williams was the wife of American planter and statesman Henry Middleton, a prominent figure in colonial South Carolina.
  • 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: Kate Williams
Triple: [Effie Gray, editor, Kate Williams]
Generated description
Kate Williams is a British historian, author, and television presenter known for her works on royal history and biography.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Kate Williams
Target entity description: Kate Williams is a British historian, author, and television presenter known for her works on royal history and biography.
  • A. Amy Williams
    Amy Williams is a British skeleton racer who won the gold medal at the 2010 Winter Olympics in Vancouver.
  • B. Ann Williams
    Ann Williams is an American dancer, choreographer, and arts educator best known as the founder and longtime artistic director of the Dallas Black Dance Theatre.
  • C. Kate Garvey
    Kate Garvey is a British public relations executive and former political aide, known for her work with Tony Blair and her marriage to Wikipedia co-founder Jimmy Wales.
  • D. Emily Carmichael
    Emily Carmichael is an American filmmaker and screenwriter known for her work on genre films such as Pacific Rim: Uprising and for her distinctive, imaginative storytelling style.
  • E. Mary Williams
    Mary Williams was the wife of American planter and statesman Henry Middleton, a prominent figure in colonial South Carolina.
  • 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_69a886163dec8190859c514232a37a05 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69aa62b3b8908190afc3f9e4a384684f completed March 6, 2026, 5:14 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae95e04dc88190902f2ae5ae856b20 completed March 9, 2026, 9:41 a.m.
NEDg Description generation batch_69ae96b399608190bfa846c433612142 completed March 9, 2026, 9:45 a.m.
NED2 Entity disambiguation (via description) batch_69ae977aac9c8190b5fecd5fea8893fd completed March 9, 2026, 9:48 a.m.
Created at: March 4, 2026, 7:29 p.m.