Triple

T8075404
Position Surface form Disambiguated ID Type / Status
Subject Edie Sedgwick E188477 entity
Predicate spouse P13 FINISHED
Object Michael Post
Michael Post is best known as the husband of 1960s Warhol superstar and socialite Edie Sedgwick.
E712478 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: Michael Post | Statement: [Edie Sedgwick, spouse, Michael Post]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Michael Post
Context triple: [Edie Sedgwick, spouse, Michael Post]
  • A. Michael Bostick
    Michael Bostick is a film producer known for his work on major Hollywood comedies and family films, including the hit movie "Bruce Almighty."
  • B. Michael Vavitch
    Michael Vavitch was a silent-era film actor known for his role in the 1924 drama "The Red Lily."
  • C. Kenneth Biller
    Kenneth Biller is an American television writer and producer best known for his work on series such as "Star Trek: Voyager" and the anthology drama "Genius."
  • D. Gil Westrum
    Gil Westrum is a central character in the 1962 Western film "Ride the High Country," portrayed as an aging former lawman whose moral ambiguity contrasts with his partner’s steadfast integrity.
  • E. Kenneth Troske
    Kenneth Troske is an American economist and academic known for his expertise in labor and financial economics and for serving on the U.S. Congressional Oversight Panel monitoring financial rescue programs.
  • 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: Michael Post
Triple: [Edie Sedgwick, spouse, Michael Post]
Generated description
Michael Post is best known as the husband of 1960s Warhol superstar and socialite Edie Sedgwick.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Michael Post
Target entity description: Michael Post is best known as the husband of 1960s Warhol superstar and socialite Edie Sedgwick.
  • A. Michael Bostick
    Michael Bostick is a film producer known for his work on major Hollywood comedies and family films, including the hit movie "Bruce Almighty."
  • B. Michael Vavitch
    Michael Vavitch was a silent-era film actor known for his role in the 1924 drama "The Red Lily."
  • C. Kenneth Biller
    Kenneth Biller is an American television writer and producer best known for his work on series such as "Star Trek: Voyager" and the anthology drama "Genius."
  • D. Gil Westrum
    Gil Westrum is a central character in the 1962 Western film "Ride the High Country," portrayed as an aging former lawman whose moral ambiguity contrasts with his partner’s steadfast integrity.
  • E. Kenneth Troske
    Kenneth Troske is an American economist and academic known for his expertise in labor and financial economics and for serving on the U.S. Congressional Oversight Panel monitoring financial rescue programs.
  • 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_69ca82b50c708190863f661d438e68df completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb404c513c8190af54d6d6b6d1a81d completed March 31, 2026, 3:32 a.m.
NED1 Entity disambiguation (via context triple) batch_69cc93e568388190a518baa0badefea4 completed April 1, 2026, 3:41 a.m.
NEDg Description generation batch_69cc969e0ecc8190973658542d1406bc completed April 1, 2026, 3:53 a.m.
NED2 Entity disambiguation (via description) batch_69cc9771b6e48190bd5f45c3f8853890 completed April 1, 2026, 3:56 a.m.
Created at: March 30, 2026, 5:28 p.m.