Triple

T20979216
Position Surface form Disambiguated ID Type / Status
Subject Hugh Kenner E516705 entity
Predicate spouse P13 FINISHED
Object Mary Kenner
Mary Kenner was the wife of noted literary critic and scholar Hugh Kenner.
E1526491 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: Mary Kenner | Statement: [Hugh Kenner, spouse, Mary Kenner]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mary Kenner
Context triple: [Hugh Kenner, spouse, Mary Kenner]
  • A. Elizabeth Denniston
    Elizabeth Denniston was the wife of Irish-born American surveyor and Revolutionary War officer Charles Clinton.
  • B. Alice Eilken
    Alice Eilken was a German commoner who became known for her brief, morganatic marriage to Prince Rostislav Alexandrovich of Russia, a member of the Romanov dynasty.
  • C. Karen Aldrich
    Karen Aldrich is a character in Judith Guest’s novel "Ordinary People," known as a friend of protagonist Conrad Jarrett who reflects his struggles with trauma and recovery.
  • D. Elizabeth Nourse
    Elizabeth Nourse was an American realist painter known for her sensitive depictions of women and rural life, who built a successful career in Paris in the late 19th and early 20th centuries.
  • E. Mary Looram
    Mary Looram is an actress known for her role in the film "Like Father."
  • 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: Mary Kenner
Triple: [Hugh Kenner, spouse, Mary Kenner]
Generated description
Mary Kenner was the wife of noted literary critic and scholar Hugh Kenner.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Mary Kenner
Target entity description: Mary Kenner was the wife of noted literary critic and scholar Hugh Kenner.
  • A. Elizabeth Denniston
    Elizabeth Denniston was the wife of Irish-born American surveyor and Revolutionary War officer Charles Clinton.
  • B. Alice Eilken
    Alice Eilken was a German commoner who became known for her brief, morganatic marriage to Prince Rostislav Alexandrovich of Russia, a member of the Romanov dynasty.
  • C. Karen Aldrich
    Karen Aldrich is a character in Judith Guest’s novel "Ordinary People," known as a friend of protagonist Conrad Jarrett who reflects his struggles with trauma and recovery.
  • D. Elizabeth Nourse
    Elizabeth Nourse was an American realist painter known for her sensitive depictions of women and rural life, who built a successful career in Paris in the late 19th and early 20th centuries.
  • E. Mary Looram
    Mary Looram is an actress known for her role in the film "Like Father."
  • 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_69e0b4fee5ac8190875fa9ceba1a5e5e completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6fbdc6ca08190919717f4328c7a0d completed April 21, 2026, 4:23 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0ab63e2fd4819096d4267b90f56fff completed May 18, 2026, 6:48 a.m.
NEDg Description generation batch_6a0ab738e6e081909d23bcbcbf3d4abb completed May 18, 2026, 6:52 a.m.
NED2 Entity disambiguation (via description) batch_6a0ab7bb6fbc81909e54be3d1ae98cbf completed May 18, 2026, 6:54 a.m.
Created at: April 16, 2026, 1:47 p.m.