Triple

T17444344
Position Surface form Disambiguated ID Type / Status
Subject Lin Oliver E424740 entity
Predicate coAuthor P398 FINISHED
Object Ilene Cooper
Ilene Cooper is an American author and longtime editor known for her influential work in children's and young adult literature, including her role at Booklist magazine.
E1281472 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: Ilene Cooper | Statement: [Lin Oliver, coAuthor, Ilene Cooper]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ilene Cooper
Context triple: [Lin Oliver, coAuthor, Ilene Cooper]
  • A. Ilene Jones
    Ilene Jones was the wife of acclaimed American novelist and screenwriter William Goldman.
  • B. Ilene Andrews
    Ilene Andrews is a key human character in the MonsterVerse franchise, portrayed as a compassionate scientist and guardian figure closely connected to King Kong and his world.
  • C. Arlene Vaughan
    Arlene Vaughan is a fictional character from the soap opera "All My Children," known for her tumultuous relationship with Adam Chandler.
  • D. Renée Lees
    Renée Lees was the wife of prominent British philosopher A. J. Ayer.
  • E. Ilene Woods
    Ilene Woods was an American singer and actress best known for providing the voice of the title character in Disney's classic animated film "Cinderella."
  • 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: Ilene Cooper
Triple: [Lin Oliver, coAuthor, Ilene Cooper]
Generated description
Ilene Cooper is an American author and longtime editor known for her influential work in children's and young adult literature, including her role at Booklist magazine.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Ilene Cooper
Target entity description: Ilene Cooper is an American author and longtime editor known for her influential work in children's and young adult literature, including her role at Booklist magazine.
  • A. Ilene Jones
    Ilene Jones was the wife of acclaimed American novelist and screenwriter William Goldman.
  • B. Ilene Andrews
    Ilene Andrews is a key human character in the MonsterVerse franchise, portrayed as a compassionate scientist and guardian figure closely connected to King Kong and his world.
  • C. Arlene Vaughan
    Arlene Vaughan is a fictional character from the soap opera "All My Children," known for her tumultuous relationship with Adam Chandler.
  • D. Renée Lees
    Renée Lees was the wife of prominent British philosopher A. J. Ayer.
  • E. Ilene Woods
    Ilene Woods was an American singer and actress best known for providing the voice of the title character in Disney's classic animated film "Cinderella."
  • 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_69d889db0ba481908402409af3b37917 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e44ffa2d84819086474649eba1065c completed April 19, 2026, 3:46 a.m.
NED1 Entity disambiguation (via context triple) batch_6a02163f3c34819087f3a5d8c25a3c09 completed May 11, 2026, 5:47 p.m.
NEDg Description generation batch_6a021db3ea748190a453eeb6c70852e5 completed May 11, 2026, 6:19 p.m.
NED2 Entity disambiguation (via description) batch_6a021e1daa048190a2ccc566204b558d completed May 11, 2026, 6:21 p.m.
Created at: April 10, 2026, 5:47 a.m.