Triple

T21737056
Position Surface form Disambiguated ID Type / Status
Subject Vinerian Professor of English Law E536551 entity
Predicate hasHolder P1911 FINISHED
Object Sandra Fredman
Sandra Fredman is a prominent legal scholar and human rights expert, particularly known for her work on equality law and labour rights.
 E1500041 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: Sandra Fredman | Statement: [Vinerian Professor of English Law, hasHolder, Sandra Fredman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Sandra Fredman
Context triple: [Vinerian Professor of English Law, hasHolder, Sandra Fredman]
  • A. Sandra Newman
    Sandra Newman is an American novelist and writer known for her inventive, genre-blending fiction and works such as "The Country of Ice Cream Star" and "The Men."
  • B. Sheila Frahm
    Sheila Frahm is an American Republican politician who briefly served as a U.S. Senator from Kansas in the mid-1990s.
  • C. Patricia Fruen
    Patricia Fruen is an actress known for her role in the film "Way Down East."
  • D. Catherine Milner
    Catherine Milner is a relatively obscure individual whose name is noted primarily in reference databases rather than for widely recognized public achievements.
  • E. Sonia Pottinger
    Sonia Pottinger was a pioneering Jamaican record producer and one of the most influential women in reggae and rocksteady music.
  • 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: Sandra Fredman
Triple: [Vinerian Professor of English Law, hasHolder, Sandra Fredman]
Generated description
Sandra Fredman is a prominent legal scholar and human rights expert, particularly known for her work on equality law and labour rights.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Sandra Fredman
Target entity description: Sandra Fredman is a prominent legal scholar and human rights expert, particularly known for her work on equality law and labour rights.
  • A. Sandra Newman
    Sandra Newman is an American novelist and writer known for her inventive, genre-blending fiction and works such as "The Country of Ice Cream Star" and "The Men."
  • B. Sheila Frahm
    Sheila Frahm is an American Republican politician who briefly served as a U.S. Senator from Kansas in the mid-1990s.
  • C. Patricia Fruen
    Patricia Fruen is an actress known for her role in the film "Way Down East."
  • D. Catherine Milner
    Catherine Milner is a relatively obscure individual whose name is noted primarily in reference databases rather than for widely recognized public achievements.
  • E. Sonia Pottinger
    Sonia Pottinger was a pioneering Jamaican record producer and one of the most influential women in reggae and rocksteady music.
  • 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_69e0c46df5448190b4322127ffc4c690 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69effd0d33dc81908a4a79abc33355d1 completed April 28, 2026, 12:19 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0a2ed417ec8190b2e5eeb991befdc6 completed May 17, 2026, 9:10 p.m.
NEDg Description generation batch_6a0a30b9aacc81909cf21733592cd462 completed May 17, 2026, 9:18 p.m.
NED2 Entity disambiguation (via description) batch_6a0a31892d108190923bdd02190bef08 completed May 17, 2026, 9:22 p.m.
Created at: April 16, 2026, 6:49 p.m.