Triple

T2060831
Position Surface form Disambiguated ID Type / Status
Subject Metamorphoses E45784 entity
Predicate creator P184 FINISHED
Object Mary Zimmerman
Mary Zimmerman is an acclaimed American theatre director and playwright known for her visually inventive stage adaptations of classic works and myths.
 E338441 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 Zimmerman | Statement: [Metamorphoses, creator, Mary Zimmerman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Mary Zimmerman
Context triple: [Metamorphoses, creator, Mary Zimmerman]
  • A. Amy Landecker
    Amy Landecker is an American actress best known for her role as Sarah Pfefferman on the television series "Transparent."
  • B. Melissa Mathison
    Melissa Mathison was an American screenwriter best known for writing the screenplay for Steven Spielberg’s film "E.T. the Extra-Terrestrial."
  • C. Lila Hotz
    Lila Hotz was the first wife of American magazine magnate Henry Luce, co-founder of Time Inc.
  • D. Janel Moloney
    Janel Moloney is an American actress best known for her role as Donna Moss on the political drama television series "The West Wing."
  • E. Karen Blanche Ziegler
    Karen Blanche Ziegler, better known as Karen Black, was an American actress acclaimed for her versatile and unconventional roles in films of the late 1960s and 1970s, including "Easy Rider," "Five Easy Pieces," and "Nashville."
  • 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 Zimmerman
Triple: [Metamorphoses, creator, Mary Zimmerman]
Generated description
Mary Zimmerman is an acclaimed American theatre director and playwright known for her visually inventive stage adaptations of classic works and myths.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Mary Zimmerman
Target entity description: Mary Zimmerman is an acclaimed American theatre director and playwright known for her visually inventive stage adaptations of classic works and myths.
  • A. Amy Landecker
    Amy Landecker is an American actress best known for her role as Sarah Pfefferman on the television series "Transparent."
  • B. Melissa Mathison
    Melissa Mathison was an American screenwriter best known for writing the screenplay for Steven Spielberg’s film "E.T. the Extra-Terrestrial."
  • C. Lila Hotz
    Lila Hotz was the first wife of American magazine magnate Henry Luce, co-founder of Time Inc.
  • D. Janel Moloney
    Janel Moloney is an American actress best known for her role as Donna Moss on the political drama television series "The West Wing."
  • E. Karen Blanche Ziegler
    Karen Blanche Ziegler, better known as Karen Black, was an American actress acclaimed for her versatile and unconventional roles in films of the late 1960s and 1970s, including "Easy Rider," "Five Easy Pieces," and "Nashville."
  • 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_69a8891a19508190a12ef1e192308dcb completed March 4, 2026, 7:33 p.m.
NER Named-entity recognition batch_69abb9d0ecf08190aec20338a6ba9911 completed March 7, 2026, 5:38 a.m.
NED1 Entity disambiguation (via context triple) batch_69b261a163a08190bd5bdb95725e4072 completed March 12, 2026, 6:48 a.m.
NEDg Description generation batch_69b264c2b3e88190bdfb33f12c318c70 completed March 12, 2026, 7:01 a.m.
NED2 Entity disambiguation (via description) batch_69b2689419808190adb9b69bf3185daf completed March 12, 2026, 7:17 a.m.
Created at: March 4, 2026, 7:40 p.m.