Triple

T26206867
Position Surface form Disambiguated ID Type / Status
Subject Money for Nothing E655378 entity
Predicate containsIntertext P52226 FINISHED
Object I want my MTV
"I Want My MTV" is a famous advertising slogan and pop-culture catchphrase associated with the early promotion and rise of the music television channel MTV in the 1980s.
 E1716244 NE FINISHED

How this triple was built (3 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: I want my MTV | Statement: [Money for Nothing, containsIntertext, I want my MTV]
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: I want my MTV
Triple: [Money for Nothing, containsIntertext, I want my MTV]
Generated description
"I Want My MTV" is a famous advertising slogan and pop-culture catchphrase associated with the early promotion and rise of the music television channel MTV in the 1980s.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: containsIntertext
Context triple: [Money for Nothing, containsIntertext, I want my MTV]
  • A. hasIntercalation
    Indicates that an entity includes or undergoes the insertion of additional elements (such as units, segments, or periods) into an existing ordered sequence or structure.
  • B. intertextualRelation chosen
    Indicates a relationship in which one text references, echoes, or otherwise meaningfully connects to another text.
  • C. includesParatext
    Indicates that one entity contains or is accompanied by paratextual material (such as prefaces, notes, or other supplementary text) related to another entity.
  • D. containsIntertitlesFrom
    Indicates that one entity includes or incorporates intertitles that originate from another entity.
  • E. containsInterpretationOf
    Indicates that one entity includes or embodies an interpretation or understanding of another entity.
  • F. None of above.

Provenance (6 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_69ee5b49adb4819086545280d4ef6337 completed April 26, 2026, 6:36 p.m.
NER Named-entity recognition batch_69f7688dd3d08190ad13d0e780570a1c completed May 3, 2026, 3:23 p.m.
NED1 Entity disambiguation (via context triple) batch_6a118587b200819083ae5b6981b40386 completed May 23, 2026, 10:46 a.m.
NEDg Description generation batch_6a1187b8aea88190b6ec7b999d2b37eb completed May 23, 2026, 10:55 a.m.
NED2 Entity disambiguation (via description) batch_6a1188a2ea6081909e575aff107859ab completed May 23, 2026, 10:59 a.m.
PD Predicate disambiguation batch_69f767fcf2f881908bacc7bfc38e68a5 completed May 3, 2026, 3:21 p.m.
Created at: April 26, 2026, 8:51 p.m.