Triple

T13996560
Position Surface form Disambiguated ID Type / Status
Subject Life in Cartoon Motion E336712 entity
Predicate producer P490 FINISHED
Object Jodi Marr
Jodi Marr is a Grammy-winning American songwriter and record producer known for her work with pop artists including contributions to Mika’s debut album "Life in Cartoon Motion."
E1079099 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: Jodi Marr | Statement: [Life in Cartoon Motion, producer, Jodi Marr]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jodi Marr
Context triple: [Life in Cartoon Motion, producer, Jodi Marr]
  • A. Julie Ryan
    Julie Ryan is a film producer best known for her work on the acclaimed Australian drama "Red Dog."
  • B. Sheri Stowe
    Sheri Stowe is the wife of American actor and director Peter Weller, known for his iconic role in the "RoboCop" films.
  • C. Jodi Flynn
    Jodi Flynn is a television producer best known for her executive production work on the reality series "Storage Wars."
  • D. Jodi Long
    Jodi Long is an American actress known for her work in film, television, and theater, including prominent roles in sitcoms and dramas.
  • E. Heather Matarazzo
    Heather Matarazzo is an American actress best known for her character roles in films like "Welcome to the Dollhouse" and "The Princess Diaries."
  • 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: Jodi Marr
Triple: [Life in Cartoon Motion, producer, Jodi Marr]
Generated description
Jodi Marr is a Grammy-winning American songwriter and record producer known for her work with pop artists including contributions to Mika’s debut album "Life in Cartoon Motion."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Jodi Marr
Target entity description: Jodi Marr is a Grammy-winning American songwriter and record producer known for her work with pop artists including contributions to Mika’s debut album "Life in Cartoon Motion."
  • A. Julie Ryan
    Julie Ryan is a film producer best known for her work on the acclaimed Australian drama "Red Dog."
  • B. Sheri Stowe
    Sheri Stowe is the wife of American actor and director Peter Weller, known for his iconic role in the "RoboCop" films.
  • C. Jodi Flynn
    Jodi Flynn is a television producer best known for her executive production work on the reality series "Storage Wars."
  • D. Jodi Long
    Jodi Long is an American actress known for her work in film, television, and theater, including prominent roles in sitcoms and dramas.
  • E. Heather Matarazzo
    Heather Matarazzo is an American actress best known for her character roles in films like "Welcome to the Dollhouse" and "The Princess Diaries."
  • 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_69d81c645c5c8190b1fd16a285a1b78a completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de2eb68ba88190bfaf10777d607bf3 completed April 14, 2026, 12:10 p.m.
NED1 Entity disambiguation (via context triple) batch_69fcd0934b74819094ec7309c23a3e2a completed May 7, 2026, 5:49 p.m.
NEDg Description generation batch_69fcd176632c8190aa7dee337688b043 completed May 7, 2026, 5:52 p.m.
NED2 Entity disambiguation (via description) batch_69fcd28c1f0c819083b934a6afd656bf completed May 7, 2026, 5:57 p.m.
Created at: April 9, 2026, 10:19 p.m.