Triple
T18441966
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Beulah Bondi |
E450549
|
entity |
| Predicate | actedIn |
P1668
|
FINISHED |
| Object |
Rain
"Rain" is a 1932 American drama film, based on a W. Somerset Maugham story, about a morally rigid missionary and a free-spirited prostitute clashing during a stormy layover in the South Pacific.
|
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: [Beulah Bondi, actedIn, Rain]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rain Context triple: [Beulah Bondi, actedIn, 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: [Beulah Bondi, actedIn, Rain]
Generated description
"Rain" is a 1932 American drama film, based on a W. Somerset Maugham story, about a morally rigid missionary and a free-spirited prostitute clashing during a stormy layover in the South Pacific.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Rain Target entity description: "Rain" is a 1932 American drama film, based on a W. Somerset Maugham story, about a morally rigid missionary and a free-spirited prostitute clashing during a stormy layover in the South Pacific.
-
A.
Rain
chosen
"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.
-
B.
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.
-
C.
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.
-
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 an abstract, emotionally charged painting by British artist Howard Hodgkin, known for its vibrant colors and gestural brushwork evocative of weather and memory.
- 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_69d8d381d6388190a9e94e9c658174e4 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e51c11b1288190b9ed4497751197d1 |
completed | April 19, 2026, 6:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a040fdb4c648190aa56212c3c1e15ce |
completed | May 13, 2026, 5:44 a.m. |
| NEDg | Description generation | batch_6a0418c2621481909497c663272f5407 |
completed | May 13, 2026, 6:22 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a041bca3d688190972d5c0d5bba70ed |
completed | May 13, 2026, 6:35 a.m. |
Created at: April 10, 2026, 11:30 a.m.