Triple

T20035129
Position Surface form Disambiguated ID Type / Status
Subject The Trembling of a Leaf E497235 entity
Predicate hasPart P35 FINISHED
Object Rain
"Rain" is a short story by W. Somerset Maugham, renowned for its intense psychological drama and exploration of moral conflict between a zealous missionary and a troubled woman in the South Pacific.
E497232 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: Rain | Statement: [The Trembling of a Leaf, hasPart, Rain]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rain
Context triple: [The Trembling of a Leaf, hasPart, Rain]
  • A. Rain
    Rain is a form of precipitation in which liquid water droplets fall from clouds to the Earth's surface.
  • B. Rain
    "Rain" is a 1966 Beatles song, noted for its innovative use of reversed tapes and studio effects that helped pioneer psychedelic rock.
  • C. Rain
    "Rain" is a song by the American rock band Empress.
  • D. Rain
    "Rain" is a soulful R&B song by American singer-songwriter Ant Clemons that showcases his emotive vocals and introspective lyricism.
  • E. Rain
    "Rain" is a track from Kanye West's gospel-influenced album *Jesus Is Born*, performed by the Sunday Service Choir.
  • 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: Rain
Triple: [The Trembling of a Leaf, hasPart, Rain]
Generated description
"Rain" is a short story by W. Somerset Maugham, renowned for its intense psychological drama and exploration of moral conflict between a zealous missionary and a troubled woman in the South Pacific.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Rain
Target entity description: "Rain" is a short story by W. Somerset Maugham, renowned for its intense psychological drama and exploration of moral conflict between a zealous missionary and a troubled woman in the South Pacific.
  • A. Rain chosen
    "Rain" is a 1921 short story by W. Somerset Maugham, renowned for its intense psychological drama set in the South Pacific and its exploration of morality, sexuality, and religious hypocrisy.
  • B. Rain
    "Rain" is a 1932 American pre-Code drama film starring Walter Huston, based on W. Somerset Maugham’s short story about moral conflict and temptation in the South Seas.
  • C. Rain
    Rain is a central character in Toni Morrison’s novel "God Help the Child," whose presence and experiences help explore themes of trauma, identity, and healing.
  • D. Rain
    "Rain" is a 2001 New Zealand drama film directed by Christine Jeffs, adapted from Kirsty Gunn’s novel about a young girl’s turbulent coming-of-age during a tense family holiday.
  • E. Rain
    "Rain" is a critically acclaimed poetry collection by Scottish poet Don Paterson, noted for its lyrical precision and emotional depth.
  • F. None of above.

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_69da627278c88190babe4297a9df1236 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e662e76f8481909c006921cbbfd060 completed April 20, 2026, 5:31 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0815faba4c81908e8f3f97ef72dea2 completed May 16, 2026, 7 a.m.
NEDg Description generation batch_6a08174e741081908917c18b62547842 completed May 16, 2026, 7:05 a.m.
NED2 Entity disambiguation (via description) batch_6a0817ada884819087624c3788d0c6e0 completed May 16, 2026, 7:07 a.m.
Created at: April 11, 2026, 3:36 p.m.