Triple

T14650168
Position Surface form Disambiguated ID Type / Status
Subject Esther Greenwood E343960 entity
Predicate hasFriend P8712 FINISHED
Object Doreen
Doreen is a lively, rebellious young woman in Sylvia Plath’s novel "The Bell Jar," serving as a foil to the protagonist Esther Greenwood.
 E1114669 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: Doreen | Statement: [Esther Greenwood, hasFriend, Doreen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Doreen
Context triple: [Esther Greenwood, hasFriend, Doreen]
  • A. Melva
    Melva is a character in Richard Bruce Nugent’s modernist short story "Smoke, Lilies and Jade," which explores themes of race, sexuality, and artistic identity during the Harlem Renaissance.
  • B. Dorys Madden
    Dorys Madden is best known as the wife of Basketball Hall of Famer Julius "Dr. J" Erving.
  • C. Bobbie
    Bobbie is a character in the 1971 drama film "Carnal Knowledge," which explores the evolving sexual and emotional relationships of two college friends over several decades.
  • D. Bobbie
    Bobbie is the nickname of Bobbie Rosenfeld, a celebrated Canadian track and field athlete and Olympic gold medalist.
  • E. Barbara
    Barbara is a station on Paris Métro Line 4 serving the southern suburbs of the French capital.
  • 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: Doreen
Triple: [Esther Greenwood, hasFriend, Doreen]
Generated description
Doreen is a lively, rebellious young woman in Sylvia Plath’s novel "The Bell Jar," serving as a foil to the protagonist Esther Greenwood.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Doreen
Target entity description: Doreen is a lively, rebellious young woman in Sylvia Plath’s novel "The Bell Jar," serving as a foil to the protagonist Esther Greenwood.
  • A. Melva
    Melva is a character in Richard Bruce Nugent’s modernist short story "Smoke, Lilies and Jade," which explores themes of race, sexuality, and artistic identity during the Harlem Renaissance.
  • B. Dorys Madden
    Dorys Madden is best known as the wife of Basketball Hall of Famer Julius "Dr. J" Erving.
  • C. Bobbie
    Bobbie is a character in the 1971 drama film "Carnal Knowledge," which explores the evolving sexual and emotional relationships of two college friends over several decades.
  • D. Bobbie
    Bobbie is the nickname of Bobbie Rosenfeld, a celebrated Canadian track and field athlete and Olympic gold medalist.
  • E. Barbara
    Barbara is a station on Paris Métro Line 4 serving the southern suburbs of the French capital.
  • 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_69d822e1a2cc81908e5bb93cf61ce3cc completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb4ed037c8190a87bf43f839fec05 completed April 14, 2026, 9:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69fde17283608190a8351b366cac5e4f completed May 8, 2026, 1:13 p.m.
NEDg Description generation batch_69fde23ab6dc8190a8b1ef0377b74ed5 completed May 8, 2026, 1:16 p.m.
NED2 Entity disambiguation (via description) batch_69fde60e72e88190bf56b3ddb3f77839 completed May 8, 2026, 1:33 p.m.
Created at: April 10, 2026, 1:26 a.m.