Triple

T21991307
Position Surface form Disambiguated ID Type / Status
Subject Jameela Jamil E543094 entity
Predicate televisionShow P3279 FINISHED
Object T4
T4 was a British Channel 4 youth-oriented television programming block that featured music, entertainment, and pop culture content, often presented by personalities like Jameela Jamil.
E1511802 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: T4 | Statement: [Jameela Jamil, televisionShow, T4]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: T4
Context triple: [Jameela Jamil, televisionShow, T4]
  • A. T4
    T4 is a light rail/tram line of the Trambesòs network serving the Barcelona metropolitan area.
  • B. T4
    T4 is one of the lines of the Athens tram system, providing urban light-rail service across part of the Athens metropolitan area.
  • C. T4
    T4 is a tram line serving the city of Villeurbanne as part of the Lyon metropolitan public transport network in France.
  • D. T4
    T4 is the large, modern main passenger terminal at Adolfo Suárez Madrid–Barajas Airport in Madrid, Spain, known for its distinctive architecture and extensive international flight operations.
  • E. T4
    T4 is the fourth passenger terminal at Melbourne Airport, serving as one of the airport’s main facilities for domestic and low-cost airline operations.
  • 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: T4
Triple: [Jameela Jamil, televisionShow, T4]
Generated description
T4 was a British Channel 4 youth-oriented television programming block that featured music, entertainment, and pop culture content, often presented by personalities like Jameela Jamil.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: T4
Target entity description: T4 was a British Channel 4 youth-oriented television programming block that featured music, entertainment, and pop culture content, often presented by personalities like Jameela Jamil.
  • A. T4
    T4 is a tram line that forms part of the urban light rail network serving the city of Casablanca, Morocco.
  • B. T4
    T4 is a light rail/tram line of the Trambesòs network serving the Barcelona metropolitan area.
  • C. T4
    T4 is one of the lines of the Athens tram system, providing urban light-rail service across part of the Athens metropolitan area.
  • D. T4
    T4 is a TrawsCymru long-distance bus service route operating in Wales as part of the national TrawsCymru network.
  • E. T4
    T4 is the fourth passenger terminal at Melbourne Airport, serving as one of the airport’s main facilities for domestic and low-cost airline operations.
  • 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_69e0c48136b081908831fa907cc02e18 completed April 16, 2026, 11:14 a.m.
NER Named-entity recognition batch_69f1270d7cbc819086eea86be04a2ec0 completed April 28, 2026, 9:30 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0a6d83bce081908bf1ed6115fe0f9e completed May 18, 2026, 1:38 a.m.
NEDg Description generation batch_6a0a6df4b3908190800df70ea35c87d5 completed May 18, 2026, 1:40 a.m.
NED2 Entity disambiguation (via description) batch_6a0a6e787abc8190b192770e4d3e8daa completed May 18, 2026, 1:42 a.m.
Created at: April 16, 2026, 8:05 p.m.