Triple

T7604055
Position Surface form Disambiguated ID Type / Status
Subject Tron: Legacy E180055 entity
Predicate storyBy P1955 FINISHED
Object Brian Klugman
Brian Klugman is an American actor, screenwriter, and director known for co-writing films such as Tron: Legacy and The Words.
E681942 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: Brian Klugman | Statement: [Tron: Legacy, storyBy, Brian Klugman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Brian Klugman
Context triple: [Tron: Legacy, storyBy, Brian Klugman]
  • A. Leon Feldhendler
    Leon Feldhendler was a Polish Jewish resistance leader and Holocaust survivor best known for co-organizing the 1943 prisoner uprising at the Sobibor extermination camp.
  • B. Phil Feldman
    Phil Feldman was an American film producer best known for his work on influential Hollywood films of the 1960s and 1970s.
  • C. Myron Futterman
    Myron Futterman was an American businessman best known for being the first husband of actress Jane Wyman.
  • D. Joseph Markovitch
    Joseph Markovitch was the father of French photographer and painter Dora Maar, a key figure in the Surrealist movement and companion of Pablo Picasso.
  • E. Sam Denoff
    Sam Denoff was an American television writer and producer best known for his influential work on classic sitcoms such as "The Dick Van Dyke Show" and "That Girl."
  • 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: Brian Klugman
Triple: [Tron: Legacy, storyBy, Brian Klugman]
Generated description
Brian Klugman is an American actor, screenwriter, and director known for co-writing films such as Tron: Legacy and The Words.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Brian Klugman
Target entity description: Brian Klugman is an American actor, screenwriter, and director known for co-writing films such as Tron: Legacy and The Words.
  • A. Leon Feldhendler
    Leon Feldhendler was a Polish Jewish resistance leader and Holocaust survivor best known for co-organizing the 1943 prisoner uprising at the Sobibor extermination camp.
  • B. Phil Feldman
    Phil Feldman was an American film producer best known for his work on influential Hollywood films of the 1960s and 1970s.
  • C. Myron Futterman
    Myron Futterman was an American businessman best known for being the first husband of actress Jane Wyman.
  • D. Joseph Markovitch
    Joseph Markovitch was the father of French photographer and painter Dora Maar, a key figure in the Surrealist movement and companion of Pablo Picasso.
  • E. Sam Denoff
    Sam Denoff was an American television writer and producer best known for his influential work on classic sitcoms such as "The Dick Van Dyke Show" and "That Girl."
  • 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_69c69f3567008190ab01d2ca7b53584a completed March 27, 2026, 3:16 p.m.
NER Named-entity recognition batch_69c6f9fbd1408190b721bf016f997c7b completed March 27, 2026, 9:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8a20f6a288190befdc1063e4aa72c completed March 29, 2026, 3:52 a.m.
NEDg Description generation batch_69c8a3c18f208190bff7ebdcf7ba2be1 completed March 29, 2026, 4 a.m.
NED2 Entity disambiguation (via description) batch_69c8a7a002308190826cb99f238975c5 completed March 29, 2026, 4:16 a.m.
Created at: March 27, 2026, 3:54 p.m.