Triple

T10467601
Position Surface form Disambiguated ID Type / Status
Subject Beeban Kidron E246836 entity
Predicate notableWork P4 FINISHED
Object InRealLife
InRealLife is a documentary film by Beeban Kidron that explores how the internet and digital technologies shape the lives, relationships, and identities of young people.
E865378 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: InRealLife | Statement: [Beeban Kidron, notableWork, InRealLife]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: InRealLife
Context triple: [Beeban Kidron, notableWork, InRealLife]
  • A. Real Life
    Real Life is a 1979 satirical comedy film directed by and starring Albert Brooks that parodies documentary filmmaking and the concept of reality television.
  • B. IRL
    IRL is the FIFA country code used to represent the Republic of Ireland national football team in international competitions and official records.
  • C. IRL
    IRL is the National Rail station code for Irlam railway station in Greater Manchester, England.
  • D. IRL
    IRL is the acronym for Institut Ramon Llull, a public institution dedicated to promoting Catalan language and culture internationally.
  • E. IRL
    IRL is the former name and common abbreviation for the Indy Racing League, the American open-wheel racing series now known as the IndyCar Series.
  • 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: InRealLife
Triple: [Beeban Kidron, notableWork, InRealLife]
Generated description
InRealLife is a documentary film by Beeban Kidron that explores how the internet and digital technologies shape the lives, relationships, and identities of young people.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: InRealLife
Target entity description: InRealLife is a documentary film by Beeban Kidron that explores how the internet and digital technologies shape the lives, relationships, and identities of young people.
  • A. Real Life
    Real Life is a 1979 satirical comedy film directed by and starring Albert Brooks that parodies documentary filmmaking and the concept of reality television.
  • B. IRL
    IRL is the FIFA country code used to represent the Republic of Ireland national football team in international competitions and official records.
  • C. IRL
    IRL is the National Rail station code for Irlam railway station in Greater Manchester, England.
  • D. IRL
    IRL is the acronym for Institut Ramon Llull, a public institution dedicated to promoting Catalan language and culture internationally.
  • E. IRL
    IRL is the former name and common abbreviation for the Indy Racing League, the American open-wheel racing series now known as the IndyCar Series.
  • 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_69d381c16c248190a2fe5b471e584e9c completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d5092e3230819098ab444f73c9bd40 completed April 7, 2026, 1:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69d89ff1cd948190a1ef331fb810bf26 completed April 10, 2026, 7 a.m.
NEDg Description generation batch_69d8a2b0d8c88190a1a64bd2bbacabbe completed April 10, 2026, 7:11 a.m.
NED2 Entity disambiguation (via description) batch_69d8a6560ddc81909d540f78a9413b3e completed April 10, 2026, 7:27 a.m.
Created at: April 6, 2026, 12:20 p.m.