Triple

T13726802
Position Surface form Disambiguated ID Type / Status
Subject Love the Future E329678 entity
Predicate hasPart P35 FINISHED
Object Time to Unwind
Time to Unwind is likely a relaxing, future-themed track or segment featured within the larger work "Love the Future."
 E1057025 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: Time to Unwind | Statement: [Love the Future, hasPart, Time to Unwind]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Time to Unwind
Context triple: [Love the Future, hasPart, Time to Unwind]
  • A. Relax
    "Relax" is a work authored by Brian Nash, likely a book that reflects his style and themes as a writer.
  • B. Relax
    "Relax" is a 1983 synth-pop and dance single by British band Frankie Goes to Hollywood, notorious for its sexually charged lyrics, controversial music video, and eventual status as an iconic 1980s hit.
  • C. Unwind
    Unwind is a pop-rock album by Dutch singer-songwriter Roel van Velzen that helped establish his reputation in the Netherlands’ music scene.
  • D. RELAX
    RELAX is an early XML schema language that influenced the design of RELAX NG for defining and validating the structure of XML documents.
  • E. "Stress Relief"
    "Stress Relief" is a celebrated two-part episode of the U.S. version of The Office, best known for its chaotic fire drill cold open and over-the-top CPR training scene.
  • 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: Time to Unwind
Triple: [Love the Future, hasPart, Time to Unwind]
Generated description
Time to Unwind is likely a relaxing, future-themed track or segment featured within the larger work "Love the Future."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Time to Unwind
Target entity description: Time to Unwind is likely a relaxing, future-themed track or segment featured within the larger work "Love the Future."
  • A. Relax
    "Relax" is a work authored by Brian Nash, likely a book that reflects his style and themes as a writer.
  • B. Relax
    "Relax" is a 1983 synth-pop and dance single by British band Frankie Goes to Hollywood, notorious for its sexually charged lyrics, controversial music video, and eventual status as an iconic 1980s hit.
  • C. Unwind
    Unwind is a pop-rock album by Dutch singer-songwriter Roel van Velzen that helped establish his reputation in the Netherlands’ music scene.
  • D. RELAX
    RELAX is an early XML schema language that influenced the design of RELAX NG for defining and validating the structure of XML documents.
  • E. "Stress Relief"
    "Stress Relief" is a celebrated two-part episode of the U.S. version of The Office, best known for its chaotic fire drill cold open and over-the-top CPR training scene.
  • 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_69d80772315881908f980cae40d91664 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69de01f63c1c8190a7d0b84f319aa99b completed April 14, 2026, 8:59 a.m.
NED1 Entity disambiguation (via context triple) batch_69f79d6302e081908e2680443852d9fd completed May 3, 2026, 7:09 p.m.
NEDg Description generation batch_69f79e77b5e88190a85f4061c8abb8a4 completed May 3, 2026, 7:13 p.m.
NED2 Entity disambiguation (via description) batch_69f79fa5249481909b2c046ed9801371 completed May 3, 2026, 7:19 p.m.
Created at: April 9, 2026, 9:55 p.m.