Triple

T6162048
Position Surface form Disambiguated ID Type / Status
Subject Ella Enchanted E137464 entity
Predicate screenwriter P2831 FINISHED
Object Michele J. Wolff
Michele J. Wolff is a screenwriter best known for her work on the film adaptation of the fantasy novel "Ella Enchanted."
 E667905 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: Michele J. Wolff | Statement: [Ella Enchanted, screenwriter, Michele J. Wolff]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Michele J. Wolff
Context triple: [Ella Enchanted, screenwriter, Michele J. Wolff]
  • A. Jeffrey M. Werner
    Jeffrey M. Werner is a film editor best known for his work on acclaimed independent and studio features, including the comedy-drama "The Kids Are All Right."
  • B. Daniel A. Wolf
    Daniel A. Wolf is an American entrepreneur and politician best known as the founder of regional airline Cape Air and as a former Massachusetts state senator.
  • C. Peter T. Grauer
    Peter T. Grauer is an American business executive best known as the longtime chairman of Bloomberg L.P.
  • D. Douglas L. Meyer
    Douglas L. Meyer is a theatrical producer best known for his work on the hit 2001 Broadway musical "The Producers."
  • E. Michael H. Weber
    Michael H. Weber is an American screenwriter best known for co-writing acclaimed romantic dramas and young adult film adaptations such as (500) Days of Summer and The Fault in Our Stars.
  • 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: Michele J. Wolff
Triple: [Ella Enchanted, screenwriter, Michele J. Wolff]
Generated description
Michele J. Wolff is a screenwriter best known for her work on the film adaptation of the fantasy novel "Ella Enchanted."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Michele J. Wolff
Target entity description: Michele J. Wolff is a screenwriter best known for her work on the film adaptation of the fantasy novel "Ella Enchanted."
  • A. Jeffrey M. Werner
    Jeffrey M. Werner is a film editor best known for his work on acclaimed independent and studio features, including the comedy-drama "The Kids Are All Right."
  • B. Daniel A. Wolf
    Daniel A. Wolf is an American entrepreneur and politician best known as the founder of regional airline Cape Air and as a former Massachusetts state senator.
  • C. Peter T. Grauer
    Peter T. Grauer is an American business executive best known as the longtime chairman of Bloomberg L.P.
  • D. Douglas L. Meyer
    Douglas L. Meyer is a theatrical producer best known for his work on the hit 2001 Broadway musical "The Producers."
  • E. Michael H. Weber
    Michael H. Weber is an American screenwriter best known for co-writing acclaimed romantic dramas and young adult film adaptations such as (500) Days of Summer and The Fault in Our Stars.
  • 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_69c008a54fc88190b6ce4416490ca79d completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c05d371484819090c18b62b095b49e completed March 22, 2026, 9:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69c83c2fa16c8190b03ed4d47b6090e7 completed March 28, 2026, 8:38 p.m.
NEDg Description generation batch_69c83e08a2fc819086e48d1c4a297f27 completed March 28, 2026, 8:46 p.m.
NED2 Entity disambiguation (via description) batch_69c83e9d599c81908ffb32d884086eeb completed March 28, 2026, 8:48 p.m.
Created at: March 22, 2026, 4:17 p.m.