Triple

T15688672
Position Surface form Disambiguated ID Type / Status
Subject Idit Harel E380266 entity
Predicate founded P104 FINISHED
Object MaMaMedia
MaMaMedia is an early internet company focused on providing educational, interactive online experiences for children.
E1171575 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: MaMaMedia | Statement: [Idit Harel, founded, MaMaMedia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: MaMaMedia
Context triple: [Idit Harel, founded, MaMaMedia]
  • A. Mediapro
    Mediapro is a Spanish multimedia communications group and film and television production company known for producing and co-producing international series, films, and sports broadcasting content.
  • B. Mediasch
    Mediasch is the German name for Mediaș, a historic Transylvanian town in present-day Romania known for its medieval architecture and fortified churches.
  • C. ApolloMedia
    ApolloMedia is a film production company known for financing and producing feature films such as the thriller "Liberty Stands Still."
  • D. Are Media
    Are Media is a major Australian magazine and digital media company that publishes a wide range of lifestyle, fashion, and entertainment titles.
  • E. Jolie Media
    Jolie Media is a media company best known for having owned the now-defunct music streaming service Rdio.
  • 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: MaMaMedia
Triple: [Idit Harel, founded, MaMaMedia]
Generated description
MaMaMedia is an early internet company focused on providing educational, interactive online experiences for children.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: MaMaMedia
Target entity description: MaMaMedia is an early internet company focused on providing educational, interactive online experiences for children.
  • A. Mediapro
    Mediapro is a Spanish multimedia communications group and film and television production company known for producing and co-producing international series, films, and sports broadcasting content.
  • B. Mediasch
    Mediasch is the German name for Mediaș, a historic Transylvanian town in present-day Romania known for its medieval architecture and fortified churches.
  • C. ApolloMedia
    ApolloMedia is a film production company known for financing and producing feature films such as the thriller "Liberty Stands Still."
  • D. Are Media
    Are Media is a major Australian magazine and digital media company that publishes a wide range of lifestyle, fashion, and entertainment titles.
  • E. Jolie Media
    Jolie Media is a media company best known for having owned the now-defunct music streaming service Rdio.
  • 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_69d86d99e860819094b6957cde470f2c completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e04f4cee5481908699fbb2b7bdd2f6 completed April 16, 2026, 2:54 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff6ee91340819086c8f51e8eb477aa completed May 9, 2026, 5:29 p.m.
NEDg Description generation batch_69ff6fd9c968819098b2552a9deb0445 completed May 9, 2026, 5:33 p.m.
NED2 Entity disambiguation (via description) batch_69ff708d42448190a53b90e00721eaa5 completed May 9, 2026, 5:36 p.m.
Created at: April 10, 2026, 4:44 a.m.