Triple

T13004994
Position Surface form Disambiguated ID Type / Status
Subject Clueless (stage musical) E322261 entity
Predicate costumeDesigner P184 FINISHED
Object Amy Clark
Amy Clark is a theatrical costume designer known for her work on major stage productions, including the musical adaptation of "Clueless."
E1047522 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: Amy Clark | Statement: [Clueless (stage musical), costumeDesigner, Amy Clark]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Amy Clark
Context triple: [Clueless (stage musical), costumeDesigner, Amy Clark]
  • A. Laurie Durning
    Laurie Durning is an American filmmaker and costume designer best known for her long-term relationship and later marriage to Pink Floyd co-founder Roger Waters.
  • B. Kim Clancy
    Kim Clancy is known as the spouse of Irish folk singer and member of The Clancy Brothers, Liam Clancy.
  • C. Lisa Clark
    Lisa Clark is an American businesswoman and socialite best known for her former marriage to music executive Tommy Mottola.
  • D. Kate Clark
    Kate Clark is a contemporary artist known for her distinctive sculptures that merge human faces with animal bodies to explore identity, humanity, and the natural world.
  • E. Lisa Blount
    Lisa Blount was an American actress and producer best known for her acclaimed supporting role in the film "An Officer and a Gentleman."
  • 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: Amy Clark
Triple: [Clueless (stage musical), costumeDesigner, Amy Clark]
Generated description
Amy Clark is a theatrical costume designer known for her work on major stage productions, including the musical adaptation of "Clueless."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Amy Clark
Target entity description: Amy Clark is a theatrical costume designer known for her work on major stage productions, including the musical adaptation of "Clueless."
  • A. Laurie Durning
    Laurie Durning is an American filmmaker and costume designer best known for her long-term relationship and later marriage to Pink Floyd co-founder Roger Waters.
  • B. Kim Clancy
    Kim Clancy is known as the spouse of Irish folk singer and member of The Clancy Brothers, Liam Clancy.
  • C. Lisa Clark
    Lisa Clark is an American businesswoman and socialite best known for her former marriage to music executive Tommy Mottola.
  • D. Kate Clark
    Kate Clark is a contemporary artist known for her distinctive sculptures that merge human faces with animal bodies to explore identity, humanity, and the natural world.
  • E. Lisa Blount
    Lisa Blount was an American actress and producer best known for her acclaimed supporting role in the film "An Officer and a Gentleman."
  • 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_69d807657e8c8190bd9435ee2f823845 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69d97e9a2a448190968833354280e474 completed April 10, 2026, 10:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69f75d7cfe24819096e8f4cd496a6fd7 completed May 3, 2026, 2:36 p.m.
NEDg Description generation batch_69f7614fbe8c8190b4a32b129c64d6b0 completed May 3, 2026, 2:53 p.m.
NED2 Entity disambiguation (via description) batch_69f761a9e7448190835cfff6a1ad6405 completed May 3, 2026, 2:54 p.m.
Created at: April 9, 2026, 8:48 p.m.