Triple

T13514931
Position Surface form Disambiguated ID Type / Status
Subject Walter Huston E322734 entity
Predicate notableWork P4 FINISHED
Object 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.
 E1045887 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: [Walter Huston, notableWork, Rain]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Rain
Context triple: [Walter Huston, notableWork, Rain]
  • A. 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.
  • B. Rain
    Rain is a surname shared by various individuals, including those in the entertainment industry such as actress and writer Jeramie Rain.
  • C. Rain
    Rain is a form of precipitation in which liquid water droplets fall from clouds to the Earth's surface.
  • D. Rain
    "Rain" is a song by Canadian singer-songwriter Jessie Reyez, known for its emotive vocals and introspective lyrics.
  • E. Rain
    "Rain" is a 1966 Beatles song, noted for its innovative use of reversed tapes and studio effects that helped pioneer psychedelic rock.
  • 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: [Walter Huston, notableWork, Rain]
Generated description
"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.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Rain
Target entity description: "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.
  • A. Rain
    "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 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.
  • C. Rain
    "Rain" is an abstract, emotionally charged painting by British artist Howard Hodgkin, known for its vibrant colors and gestural brushwork evocative of weather and memory.
  • D. 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.
  • E. Rain
    Rain is the compassionate paint mare and love interest of the title stallion in the animated film "Spirit: Stallion of the Cimarron."
  • 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_69d80766a21881909f21a1b7421d3b8a completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbafa0ed508190b2855171b1945e84 completed April 12, 2026, 2:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69f75494642881909f33962afe26f427 completed May 3, 2026, 1:58 p.m.
NEDg Description generation batch_69f758b29cd4819093cecff5cfefc98f completed May 3, 2026, 2:16 p.m.
NED2 Entity disambiguation (via description) batch_69f7593d74cc819099c5d39ae09c3f70 completed May 3, 2026, 2:18 p.m.
Created at: April 9, 2026, 9:44 p.m.