Triple

T20410355
Position Surface form Disambiguated ID Type / Status
Subject Eye to the Telescope E500571 entity
Predicate includesSong P7178 FINISHED
Object Under the Weather
"Under the Weather" is a song by British singer-songwriter KT Tunstall, featured on her debut album *Eye to the Telescope*.
 E1429629 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: Under the Weather | Statement: [Eye to the Telescope, includesSong, Under the Weather]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Under the Weather
Context triple: [Eye to the Telescope, includesSong, Under the Weather]
  • A. Fair Weather
    "Fair Weather" is a cool jazz track famously performed by trumpeter Chet Baker on his album *Chet Baker in New York*.
  • B. Still Under the Weather
    "Still Under the Weather" is a country song by Shania Twain from her self-titled debut studio album.
  • C. A Little Rain
    "A Little Rain" is a melancholic, narrative-driven song by Tom Waits from his 1992 album *Bone Machine*, noted for its sparse arrangement and poignant storytelling.
  • D. The Weather Man
    The Weather Man is a 2005 dark comedy-drama film starring Nicolas Cage as a troubled Chicago TV weatherman struggling with family and personal crises.
  • E. The Rainy Day
    "The Rainy Day" is a reflective poem by Henry Wadsworth Longfellow that meditates on sorrow, perseverance, and the hope that follows life's storms.
  • 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: Under the Weather
Triple: [Eye to the Telescope, includesSong, Under the Weather]
Generated description
"Under the Weather" is a song by British singer-songwriter KT Tunstall, featured on her debut album *Eye to the Telescope*.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Under the Weather
Target entity description: "Under the Weather" is a song by British singer-songwriter KT Tunstall, featured on her debut album *Eye to the Telescope*.
  • A. Fair Weather
    "Fair Weather" is a cool jazz track famously performed by trumpeter Chet Baker on his album *Chet Baker in New York*.
  • B. Still Under the Weather
    "Still Under the Weather" is a country song by Shania Twain from her self-titled debut studio album.
  • C. A Little Rain
    "A Little Rain" is a melancholic, narrative-driven song by Tom Waits from his 1992 album *Bone Machine*, noted for its sparse arrangement and poignant storytelling.
  • D. The Weather Man
    The Weather Man is a 2005 dark comedy-drama film starring Nicolas Cage as a troubled Chicago TV weatherman struggling with family and personal crises.
  • E. The Rainy Day
    "The Rainy Day" is a reflective poem by Henry Wadsworth Longfellow that meditates on sorrow, perseverance, and the hope that follows life's storms.
  • 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_69e0b4a935588190b9446a99b37ced44 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e67a3ecb348190ae777f6276037828 completed April 20, 2026, 7:10 p.m.
NED1 Entity disambiguation (via context triple) batch_6a087b21cb308190a9313a24a902b44d completed May 16, 2026, 2:11 p.m.
NEDg Description generation batch_6a088015c514819087967845614dd25d completed May 16, 2026, 2:32 p.m.
NED2 Entity disambiguation (via description) batch_6a0880b79edc81908b180db5338f57db completed May 16, 2026, 2:35 p.m.
Created at: April 16, 2026, 11:29 a.m.